Topic 3: Semantics and Logic 789


Title (link) Author Date Votes Error
A Survey of Paraphrasing and Textual Entailment Methods "Ion Androutsopoulos, Prodromos Malakasiotis" 2010
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Deep Learning for Sentiment Analysis: A Survey Lei Zhang, Shuai Wang, Bing Liu 2018
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Brief Introduction to Machine Learning Without Deep Learning Kyunghyun Cho 2018
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Survey: Semantic Role Labeling and Dependency Parsing Janardhan Singh 2013
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Semantic Role Labeling Martha Palmer, Daniel Gildea, Nianwen Xue 2010
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Opinion mining and sentiment analysis Bo Pang and Lillian Lee 2008
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Sentiment Analysis Subhabrata Mukherjee 2012
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Sentiment Analysis and Subjectivity Bing Liu 2010
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Sentiment Analysis and Opinion Mining Bing Liu 2012
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Recognizing Textual Entailment Models and Applications Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto 2013
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Large Graph-Mining: Power Tools and a Practitioner's Guide Christos Faloutsos, Prof. Gary L. Miller, Charalampos Tsourakakis 2009
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Learning to Map Sentences to Logical Form Luke Zettlemoyer, Michael Collins 2012
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Generalized Low Rank Models Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen Boyd 2016
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Abstract Meaning Representation AMR 2017
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Transforming Dependency Structures to Logical Forms for Semantic Parsing Siva Reddy, Oscar Tackstrom, Michael Collins, Tom Kwiatkowski, Dipanjan Das, Mark Steedman, Mirella Lapata 2016
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Lab41 Reading Group: Skip-Thought Vectors Alex Gude 2016
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Deep Learning Reading Group: Skip-Thought Vectors Alex Gude 2016
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Computer Age Statistical Inference Bradley Efron, Trevor Hastie 2016
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Singular Value Decomposition (SVD) Avrim Blum, John Hopcroft, Ravindran Kannan 2015
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High-Dimensional Space Avrim Blum, John Hopcroft, Ravindran Kannan 2015
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Lexicons for Sentiment and Affect Extraction Daniel Jurafsky, James H. Martin 2017
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Computing with Affective Lexicons Daniel Jurafsky 2017
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Semantic Role Labeling Daniel Jurafsky, James H. Martin 2017
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Selectional Restriction Daniel Jurafsky 2017
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Semantic Role labeling Daniel Jurafsky 2017
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Minimum Edit Distance Daniel Jurafsky 2017
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Naive Bayes and Sentiment Classification Daniel Jurafsky, James H. Martin 2017
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Naive Bayes and Sentiment Classification Daniel Jurafsky 2017
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Sentiment Analysis Daniel Jurafsky 2017
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Sent2Vec: An unsupervised approach towards learning sentence embeddings Prerna Kashyap 2018
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Advanced Semantic Representation (SemRep) Nathan Schneider 2017
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Integrating Generative Lexicon and Lexical Semantic Resources James Pustejovsky, Elisabetta Jezek 2016
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Variational Inference: A Review for Statisticians David M. Blei, Alp Kucukelbir, Jon D. McAuliffe 1217
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Text Data Management and Analysis M. Tamer O zsu 1581
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Phrase Mining from Massive Text and Its Applications Jialu Liu, Jingbo Shang, Jiawei Han 2017
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Stock Trend Prediction Using News Sentiment Analysis Kalyani Joshi, Bharathi H. N., Jyothi Rao 2016
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Knowledge Graph Embedding: A Survey of Approaches and Applications Quan Wang, Zhendong Mao, Bin Wang, Li Guo 2017
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Representation Learning on Graphs: Methods and Applications William L. Hamilton, Rex Ying, Jure Leskovec 2017
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Representation Learning on Graphs: Methods and Applications William L. Hamilton, Rex Ying, Jure Leskovec 2017
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Data-Driven Conceptual Spaces: Creating Semantic Representations for Linguistic Descriptions of Numerical Data Hadi Banaee, Erik Schaffernicht, Amy Loutfi 2018
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A Survey on Semantic Parsing Aishwarya Kamath and Rajarshi Das 2018
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Title (link) Author Date Votes Error
Semantic Entity Retrieval Toolkit Christophe Van Gysel, Maarten de Rijke, Marcel Worring 2016
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SippyCup Bill MacCartney 2016
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SEMAFOR Carnegie Mellon ARK 2015
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CAMR: A transition-based AMR Parser Chuan Wang, Sameer Pradhan 2017
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English-to-AMR parser Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, Jonathan May 2017
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AMR-to-English generator Nima Pourdamghani 2017
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Dependency to Lambda-calculus Conversion Rules Siva Reddy 2016
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SEMPRE: Semantic Parsing with Execution Percy Liang 2016
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SEMPRE: Semantic Parsing with Execution Percy Liang 2017
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Skip-thoughts Jamie Kiros 2017
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Skip-thoughts Kyunghyun Cho 2015
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Sentiment Symposium Tutorial: Lexicons Christopher Potts 2011
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GloVe: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher Manning 2014
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glove-python maciejkula 2014
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The Sum of its Parts: Joint Learning of Word and Phrase Representations with Autoencoders Rémi Lebret 2015
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The Semantic Vectors Package Dominic Widdows, Kathleen Ferraro 2013
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COMPOSES Semantic Vectors Marco Baroni, Georgiana Dinu, German Kruszewski 2014
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word2vec (Google Implementation) Google 2013
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word2vec (Google) Google 2013
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Keras implementation of ontology aware token embeddings Pradeep Dasigi, Waleed Ammar, Chris Dyer, and Eduard Hovy 2017
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Bringing machine learning and compositional semantics together Percy Liang and Christopher Potts 2014
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t-SNE Laurens van der Maaten 2014
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CROWN: the Community-enRiched Open WordNet Gus Hahn-Powell, David Jurgens 2015
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The TakeLab Semantic Text Similarity System Bojana Dalbelo Ba?i? 2012
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DIStributional SEmantics Composition Toolkit G. Dinu, N. Pham and M. Baroni 2013
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BabelNet Roberto Navigli 2015
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Word and text similarity measures Torsten Zesch 2012
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JFLAP Susan H. Rodger 2009
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Cornell SPF - Cornell Semantic Parsing Framework Yoav Artzi 2013
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Cornell Semantic Parsing Framework Yoav Artzi 2016
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GraphParser Siva Reddy 2017
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vector-entailment Sam Bowman, Christopher Potts, Gabor Angeli, Christopher Manning 2013
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BiCVM Karl Moritz Hermann 2014
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Code for the bilingual lexicon induction experiments Georgiana Dinu, Angelikie Lazaridou, Marco Baroni 2014
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Naive Bayes SVM (NB-SVM) Daniel Pressel, Grégoire Mesnil 2014
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Sentiment Analyzer Madhusudan Cheelangi 2012
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SocialSent: Domain-Specific Sentiment Lexicons for Computational Social Science William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky 2016
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Pyke Bruce Frederiksen 2007
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fastText for Fast Sentiment Analysis Author Unknown 2016
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Deep Semantic Role Labeling Luheng He 2017
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QA-SRL: Question-Answer Driven Semantic Role Labeling Luheng He, Mike Lewis, Luke Zettlemoyer 2015
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UWTime Kenton Lee 2017
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Dimensionality reduction for audio organization Leonardo Pepino 2019
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ERNIE Zhengyan Zhang 2019
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Edward: A library for probabilistic modeling, inference, and criticism Dustin Tran, Alp Kucukelbir, Adji B. Dieng, Maja Rudolph, Dawen Liang, David M. Blei 2017
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Cross-lingual Sentiment Analysis with Deep Learning Mohammad Sadegh Rasooli, Noura Farra, Axinia Radeva, Tao Yu, Kathleen McKeown 2017
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Textual Entailment with TensorFlow Steven Hewitt 2017
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segeval 2.0.11 Chris Fournier 2013
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Scanner Semantic Parser Jianpeng Cheng, Siva Reddy, Vijay Saraswat, Mirella Lapata 2017
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amr-eager mdtux89 2017
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Uniform Manifold Approximation and Projection (UMAP) McInnes, Healy 2018
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sentiment-analysis-workshop Pang, B., Lee, L 2018
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PyTorch Geometric Matthias Fey, Jan Eric Lenssen, Frank Weichert, Heinrich Muller 2018
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PyTorch Unsupervised Sentiment Discovery NVIDIA 2018
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Emotion Recognition in Conversations SenticNet 2018
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Sentiment140 Alec Go, Richa Bhayani, Lei Huang 2017
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Twitter US Airline Sentiment Sole, Ben Hamner, Megan Risdal 2016
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ImageNet Li Fei-Fei, Kai Li, Olga Russakovsky, Jonathan Krause, Jia Deng, Alex Berg 2016
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Code for Deeply Moving: Deep Learning for Sentiment Analysis Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher Manning, Andrew Ng, Christopher Potts 2013
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Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015) CLIC Lab 2017
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EasySRL University of Washington NLP 2015
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sent-summary Harvard NLP 2017
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Sling - A natural language frame semantics parser Michael Ringgaard, Rahul Gupta, Fernando C. N. Pereira 2017
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Semantic MEDLINE Database Thomas Rindflesch 2017
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The Rainbow Parser Shashi Narayan, Shay Cohen 2017
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Mateplus Author Unknown 2017
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Sentences Involving Compositional Knowledge Marco Baroni, Luisa Bentivogli, Raffaella Bernardi, Marco Marelli, Stefano Menini, Roberto Zamparelli 2014
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Corpus Query Language Adam Kilgarriff, Pavel Rychly 2017
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Sarcasm Corpus V2 Shereen Oraby 2016
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PersonaBank Stephanie M. Lukin, Kevin Bowden, Casey Barackman, Marilyn A. Walker 2016
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ConceptNet 5.5.0 Rob Speer 2016
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Abstract Meaning Representation Library Nathan Schneider, Daniel Hershcovich 2015
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Sentiment Analysis with LSTMs Adit Deshpande 2017
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Fashion-MNIST Han Xiao, Kashif Rasul, Roland Vollgraf 2017
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Neural AMR Yannis Konstas 2017
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Geoquery Database Author Unknown 2017
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CRF-RNN for Semantic Image Segmentation Sadeep Jayasumana, Shuai Zheng, Bernardino Romera Paredes, Anurag Arnab, and Zhizhong Su 2017
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Sapienta: Automating the Semantic Annotation of Papers Maria Liakata 2017
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Empower Sequence Labeling with Task-Aware Neural Language Model L. Liu, J. Shang, F. Xu, X. Ren, H. Gui, J. Peng and J. Han 2017
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Troll: Language Sentiment Analysis and Neural Networks... for trolls Heather Arthur 2017
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Title (link) Author Date Votes Error
Lambda Calculus for Absolute dummies Joscha Bach 2012
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Nl2sql: Learning a Neural Semantic Parser with User Feedback Srinivasan Iyer 2017
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Dimensionality Reduction Algorithms: Strengths and Weaknesses Author Unknown 2017
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Sentiment analysis: Machine Learning Approach. Safdar Mirza 2018
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Locality Sensitive Hashing Shikhar Gupta 2018
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Semantics, not syntax, creates NLU John Ball 2018
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Sentiment Analysis on the Texts of Harry Potter Greg Rafferty 2018
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The Mathematics Behind Principal Component Analysis Akash Dubey 2018
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Stemming? Lemmatization? What? Hunter Heidenreich 2018
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Representations and loss functions Sida Wang 2018
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Sentiment Analysis with Python (Part 1) Aaron Kub 2018
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“Interesting” Projections — Where PCA Fails. Steve Driscoll 2019
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Teaching computers to understand the sentiment of tweets Kristoffer Stensbo-Smidt 2019
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Causal Inference 2: Illustrating Interventions via a Toy Example Ferenc Huszár 2019
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Counterfactual Learning of Semantic Parsers When Even Gold Answers Are Unattainable Carolin Lawrence 2019
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Principal Component Analysis Victor Powell, Lewis Lehe 2018
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Splitting text into sentences bogdani 2016
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Getting Started with Sentiment Analysis bogdani 2016
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Stemmers vs. Lemmatizers bogdani 2016
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Wordnet, getting your hands dirty bogdani 2016
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Compute sentence similarity using Wordnet bogdani 2016
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How to convert between verb/noun/adjective/adverb forms using Wordnet bogdani 2016
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Overview of Text Similarity Metrics in Python Sanket Gupta 2018
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Doc2Vec tutorial using Gensim Andreas Klintberg 2015
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Understanding Dimension Reduction with Principal Component Analysis (PCA) Felipe 2017
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Diving Deeper into Dimension Reduction with Independent Components Analysis (ICA) Felipe 2017
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Multi-Dimension Scaling (MDS) Felipe 2018
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Dimension Reduction - LLE Felipe 2018
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Dimension Reduction - t-SNE Felipe 2018
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Dimension Reduction - IsoMap Felipe 2018
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Dimension Reduction - Autoencoders Felipe 2018
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The Softmax function and its derivative Eli Bendersky 2016
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A Brief History of Natural Logic Johan van Benthem 2007
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lamvi - Language Model Visual Inspector Xin Rong 2016
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The Distributional Memory resource page M. Baroni, A. Lenci 2010
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SocialSent: Domain-Specific Sentiment Lexicons for Computational Social Science William L. Hamilton, Kevin Clark, Jure Leskovec, Dan Jurafsky 2016
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International Workshop on Semantic Evaluation Author 2017
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Deeply Moving: Deep Learning for Sentiment Analysis Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher Manning, Andrew Ng and Christopher Potts 2013
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Visualizing Top Tweeps with t-SNE, in Javascript Andrej Karpathy 2014
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Beginners Guide To Learn Dimension Reduction Techniques Sunil Ray 2015
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CoNLL Previous shared tasks Ben Verhoeven 2016
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Variational Inference using Implicit Models, Part I: Bayesian Logistic Regression Ferenc Huszár 2017
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Stop Using word2vec Chris Moody 2017
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Skipgram isn't Matrix Factorisation Benjamin 2016
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Sequence Modeling with CTC Awni Hannun 2017
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Grakn: A hyper-relational database for knowledge engineering Author Unknown 2018
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Clustering the MNIST dataset via semidefinite programming Soledad Villar 2016
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Solving A Simple Classification Problem with Python - Fruits Lovers's Edition Susan Li 2017
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Another Twitter sentiment analysis with Python???Part 9 (Neural Networks with Tfidf vectors using Keras) The Rickest Ricky 2018
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Understanding LSTM and its Quick Implementation in Keras for Sentiment Analysis Nimesh Sinha 2018
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Word Vectors and Semantic Similarity Author Unknown 2018
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Topic Modeling with Gensim (Python) Author Unknown 2018
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Understanding what is behind Sentiment Analysis (Part I) Enrique Fueyo 2018
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Understanding what is behind Sentiment Analysis (Part II) Enrique Fueyo 2018
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FAISS Wiki Facebook AI 2019
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Principal Component Analysis in 3 Simple Steps Sebastian Raschka 2015
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What is the difference between LDA and PCA for dimensionality reduction? Sebastian Raschka 2018
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Yet Another Twitter Sentiment Analysis Part 1???tackling class imbalance The Rickest Ricky 2018
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Dimensionality Reduction in Machine Learning by stacking PCA and t-SNE Navjot 2018
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Variational Inference: Ising Model Vadim Smolyakov 2018
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Introduction to Deep Learning ? Sentiment Analysis bogdani 2018
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Author Unknown 2018
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Lexical Normalization Sebastian Ruder 2018
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Natural language inference Sebastian Ruder 2018
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Semantic textual similarity Sebastian Ruder 2018
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Sentiment analysis Sebastian Ruder 2018
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Semantic parsing Sebastian Ruder 2018
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Semantic role labeling Sebastian Ruder 2018
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Stance detection Sebastian Ruder 2018
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Generating Reviews and Discovering Sentiment OpenAI 2018
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Textual Entailment The Allen Institute for Artificial Intelligence 2018
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Semantic Role Labeling The Allen Institute for Artificial Intelligence 2018
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WikiTables Semantic Parsing The Allen Institute for Artificial Intelligence 2018
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Event2Mind The Allen Institute for Artificial Intelligence 2018
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Code2vec tech-srl 2019
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cui2vec explorer Harvard Medical School 2018
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Latent Semantic Analysis & Sentiment Classification with Python Susan Li 2018
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Word Embeddings and Document Vectors: Part 1. Similarity Ashok Chilakapati 2018
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Word Embeddings and Document Vectors: Part 2. Order Reduction Ashok Chilakapati 2018
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Neural Network Embeddings Explained Will Koehrsen 2018
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Embeddings Google Machine Learning 2018
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Learning Meaning in Natural Language Processing?—?The Semantics Mega-Thread Thomas Wolf 2018
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Improving a Sentiment Analyzer using ELMo — Word Embeddings on Steroids Masato Hagiwara 2018
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Training a Sentiment Analyzer using AllenNLP (in less than 100 lines of Python code) Masato Hagiwara 2018
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Principal Component Analysis: Your Tutorial and Code George Seif 2018
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Simple and efficient semantic embeddings for rare words, n-grams, and language features Sanjeev Arora, Mikhail Khodak, Nikunj Saunshi 2018
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Computational Folkloristics: Major Emotional Arcs for Good-Selling Fictions Kwan-Yuet (Stephen) Ho 2016
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Abductive Natural Language Inference (ANLI) N/A 2019
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Awesome Knowledge Graph Embedding Approaches mommi84 2019
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Sentiment analysis : Machine-Learning approach Samuel Pilcer 2018
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From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney, Patrick Pantel 2010
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A Survey of Paraphrasing and Textual Entailment Methods Ion Androutsopoulos, Prodromos Malakasiotis 2009
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A Tutorial on Dual Decomposition and Lagrangian Relaxation for Inference in Natural Language Processing Alexander M. Rush, Michael Collins 2012
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From Word to Sense Embeddings: A Survey on Vector Representations of Meaning Jose Camacho-Collados, Mohammad Taher Pilehvar 2018
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How to write Variational Inference and Generative Models for Natual Language Processing Yao Fu 2021
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Title (link) Author Date Votes Error
Intro-HLT: Semantics Matt Post 2019
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An Overview of Commonsense Knowledge Graph Construction and Reasoning at HKUST Yangqiu Song 2021
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MLSS 2020 Causal Inference II Bernhard Schölkopf & Stefan Bauer 2020
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Causality Bernhard Schölkopf & Stefan Bauer 2020
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VITutorial: Welcome and Introduction Philip Schulz, Wilker Aziz 2018
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VITutorial: The Basics Philip Schulz, Wilker Aziz 2018
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VITutorial: Deep Generative Models (Continuous Latent Variables) Philip Schulz, Wilker Aziz 2018
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VITutorial: Deep Generative Models (Discrete Latent Variables) Philip Schulz, Wilker Aziz 2018
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Semantic Representations of Word Senses and Concepts José Camacho Collados, Ignacio Iacobacci, Roberto Navigli, Mohammed Taher Pilehvar 2016
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Counterfactual Inference Susan Athey 2018
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Scalable Bayesian Inference David Dunson 2018
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Commonsense for Machine Intelligence: Text to Knowledge and Knowledge to Text Part 3: Applications and Open Issues Niket Tandon 2018
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A Review of Relational Machine Learning for Knowledge Graphs Maximilian Nickel 2019
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Knowledge Graphs Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo, Claudio Gutierrez, Jose Emilio Labra Gayo, Sabrina Kirrane, Sebastian Neumaier, Axel Polleres, Roberto Navigli, Axel-Cyrill 2020
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Semantics for Semantic Parsing Mark Steedman, Mike Lewis, Siva Reddy, Mirella Lapata 2014
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Cross-Lingual Semantic Parsing Part I Kilian Evang 2018
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Cross-Lingual Semantic Parsing Part 2 Kilian Evang 2018
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Cross-Lingual Semantic Parsing Part 3 Kilian Evang 2018
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Stanford CS 520 Knowledge Graphs Jans Aasman 2020
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Learning with Academic Knowledge Graphs Yuxiao Dong 2020
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Knowledge Graphs for Natural Language Processing Jose Manuel Gomez-Perez 2019
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Entity Linking to Knowledge Graphs Avijit Thawani, Minda Hu, Erdong Hu 2019
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Reasoning in Knowledge Graphs using Embeddings Jure Leskovec 2019
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Commonsense Knowledge in Pre-trained Language Models Vered Shwartz 2020
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Commonsense resources Vered Shwartz 2020
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Neural and Symbolic Models of Commonsense Reasoning Vered Shwartz 2020
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Neuro-symbolic Representations for Commonsense Knowledge and Reasoning Antoine Bosselut 2020
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Commonsense benchmarks Antoine Bosselut 2020
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Temporal Commonsense Ben Zhou, Qiang Ning, Daniel Khashabi 2020
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Open Research Questions: What Do Knowledge Graphs Really Know? Mark A. Musen, M.D., Ph.D. 2019
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Identifying the right meaning of the words using BERT Gergely D. Németh 2019
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Cross-lingual Semantic Representation for NLP with UCCA: A Bird’s Eye View Omri Abend 2020
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Cross-lingual Semantic Representation for NLP with UCCA: UCCA of English Nathan Schneider 2020
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Cross-lingual Semantic Representation for NLP with UCCA: Annotated Corpora and UCCA-App Dotan Dvir 2020
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Cross-lingual Semantic Representation for NLP with UCCA: Annotated Corpora and UCCA-App Dotan Dvir 2020
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Cross-lingual Semantic Representation for NLP with UCCA: UCCA Extensions Jakob Prange 2020
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Cross-lingual Semantic Representation for NLP with UCCA: UCCA Extensions Jakob Prange 2020
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Cross-lingual Semantic Representation for NLP with UCCA: Parsing, Evaluation and Applications Daniel Hershcovich 2020
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Cross-lingual Semantic Representation for NLP with UCCA: Cross-linguistic Studies Omri Abend 2020
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Cross-lingual Semantic Representation for NLP with UCCA Omri Abend, Dotan Dvir, Daniel Hershcovich, Jakob Prange, Nathan Schneider 2020
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Scalable Construction and Reasoning of Massive Knowledge Bases Xiang Ren, Nanyun Peng, William Yang Wang 2018
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The interplay between lexical resources and Natural Language Processing Luis Espinosa Anke, Jose Camacho-Collados, Mohammad Taher Pilehvar 2018
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Scientific Text Mining and Knowledge Graphs: Introduction Meng Jiang, Jingbo Shang 2020
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Scientific Text Mining and Knowledge Graphs Chapter 1 Part 1: Phrase Mining Meng Jiang, Jingbo Shang 2020
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Scientific Text Mining and Knowledge Graphs Chapter 1 Part 4: Scientific Statements Meng Jiang, Jingbo Shang 2020
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Scientific Text Mining and Knowledge Graphs Chapter 2 Part 1: Taxonomy Construction Meng Jiang, Jingbo Shang 2020
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Scientific Text Mining and Knowledge Graphs Chapter 2 Part 2: Knowledge Graph Learning Meng Jiang, Jingbo Shang 2020
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Scientific Text Mining and Knowledge Graphs: Conclusions Meng Jiang, Jingbo Shang 2020
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Deep Graph Learning: Foundations, Advances and Applications Yu Rong, Tingyang Xu, Junzhou Huang, Wenbing Huang, Hong Cheng 2020
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How to Calibrate your Neural Network Classifier: Getting True Probabilities from a Classification Model Natalia Culakova, Dan Murphy, Alan Mosca 2020
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Scalable Construction and Querying of Massive Knowledge Bases Xiang Ren, Yu Su, Pedro Szekely, Xifeng Yan 2018
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Commonsense for Machine Intelligence: Text to Knowledge and Knowledge to Text Gerard de Melo, Niket Tandon and Aparna S. Varde 2017
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ACL 2018 tutorial on neural semantic parsing Luke Zettlemoyer, Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr 2020
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Neural Semantic Parsing Pradeep Dasigi, Srini Iyer, Alane Suhr, Matt Gardner, Luke Zettlemoyer 2020
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Comprehensive Hands on Guide to Twitter Sentiment Analysis with dataset and code Prateek Joshi 2018
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A step by step explanation of Principal Component Analysis Zakaria Jaadi 2019
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An overview of Principal Component Analysis Moshe Binelli 2019
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"Neural Vector Representations: Introduction, Words" Gerard de Melo 2019
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Imitation Learning tutorial "yisong yue, Hoang M Lee" 2018
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Theory for representation learning Sanjeev Arora 2019
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Learning Program Representations: Symbols to Vectors to Semantics Charles Sutton 2016
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NLP: Foundations and State-of-the-Art Rouchen 2016
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Coreference Resolution: Successes and Challenges Vincent Ng 2016
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Semantic Parsing Bo Pang 2018
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Sentiment Analysis Ishita Chakraborty 2018
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A Tutorial on Principal Component Analysis Jonathon Shelns 2014
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Chapter 3: Finding Similar Items Ullman 2011
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Dimensionality Reduction Evi Maria 2015
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Dimensionality Reduction Al Fuqaha 2014
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Dimensionality Reduction: PCA Nicholas Ruozzi 2016
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Principal Component Analysis Thuma Rushik 2014
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Dimensionality reduction. PCA. Kernel PCA Daniel Precup 2016
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A tutorial on Principal Components Analysis Lindsay Smith 2002
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Chapter 5: Singular value decomposition and principal component analysis Michael Wall 2003
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Principal Component Analysis James Worrell 2017
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SippyCup Unit 2: Travel queries Bill MacCartney 2015
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Sentiment Symposium Tutorial Christopher Potts 2011
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Sentiment Analysis 101 Scott Sims 2015
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Applications of FrameNet and ASRL Collin F. Baker 2015
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Principal component analysis - a tutorial Alaa Tharwat 2016
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Title (link) Author Date Votes Error
A Matter of Horn Clauses Josh Falk 2016
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Zoink! Dragomir Radev, Christiane Fellbaum, and Jonathan May 2015
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Levenshtein's Fine Signs Blake Allen and Patrick Littell 2014
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Bertrand and Russell Ben King 2014
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A fox among the h Patrick Littell 2012
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The Little Engine that Could... Read Patrick Littell and James Pustejovsky 2012
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Hypo-Hmong-driac David Mortensen 2009
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Orwellspeak Jason Eisner 2009
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The Little Engine that Could...Read Pat Littell and James Pustejovsky 2012
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Wheel of Fortune Cookies Patrick Littell 2014
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A matter of Horn clauses Josh Falk 2016
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Colorless Green Concepts Scripting Furiously Daniel Lovsted 2019
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Adjupectiheaval! Ethan Chi 2020
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You Can’t Handle the Truth Daniel Lovsted 2020
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Cut to the Chase Lori Levin and Tom McCoy 2020
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The Stanford Natural Language Inference (SNLI) Corpus Stanford NLP Group 2017
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SimLex-999 Felix Hill, Roi Reichart and Anna Korhonen 2014
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STSbenchmark Daniel Cer, Mona Diab, Eneko Agirre, Iñigo Lopez-Gazpio, Lucia Specia 2017
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Unsupervised Data Generated for GeoQuery and SAIL Datasets Tomavs Kovcisky, Gabor Melis, Edward Grefenstette, Chris Dyer, Wang Ling, Phil Blunsom, Karl Moritz Hermann 2016
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First Order Logic Philipp Koehn 2020
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Inference in First-Order Logic Philipp Koehn 2020
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Knowledge Representation Philipp Koehn 2020
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Principal component analysis Carlos Fernandez-Granda 2019
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Covariance matrix Carlos Fernandez-Granda 2019
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Principal component analysis Carlos Fernandez-Granda 2019
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Semantics of First Order Logic Moshe Y. Vardi 2015
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Expressiveness of FOL Moshe Y. Vardi 2015
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Bayes net definition and inference Chelsea Finn, Nima Anari 2021
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PCA, SVD and Fisher Linear Discriminant Alan Yuille 2014
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Semantic Parsing Dragomir Radev' 2019
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Merging representations Hugo Larochelle' 2019
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Natural language processing - one-hot encoding Hugo Larochelle' 2019
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Unsupervised Learning Principal Component Analysis Furong Huang' 2019
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Principal components analysis John Paisley' 2019
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Dimensionality Reduction Ethem Alpaydın' 2019
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Principal Component Analysis Nicholas Zabaras' 2019
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Semantic parsing Sida Wang 2018
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Sentiment Jordan Boyd-Graber 2019
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Independent Component Analysis Mark Schmidt 2017
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Vector space models Anna Rogers 2019
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PCA Matus Telgarsky 2022
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Reasoning on Knowledge Graphs: Symbolic or Neural? Meng Qu, Zhaocheng Zhu, Jian Tang 2022
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Natural Language Inference Emma Strubell 2020
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Sentiment Analysis Emma Strubell 2020
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WordNet David Bamman 2021
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Semantic roles David Bamman 2021
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Inference and Statistical Physics Boaz Barak 2021
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Compositional Semantics Dan Klein, John DeNero 2020
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Semantics Graham Neubig 2021
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Lexical Semantics Alan W Black and David Mortensen 2021
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Vector Semantics Alan W Black and David Mortensen 2021
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Compositional Semantics and Semantic Parsing Alan W Black and David Mortensen 2021
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Word Vectors I: Introduction, SVD and Word2Vec Christopher Manning, Richard Socher 2019
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word vectors ii: glove, evaluation and training Christopher Manning, Richard Socher 2019
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Analysis methods in NLP: Overview Christopher Potts 2021
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Adversarial testing Christopher Potts 2021
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Adversarial training (and testing) Christopher Potts 2021
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Probing Christopher Potts 2021
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Feature attribution Christopher Potts 2021
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Supervised sentiment analysis: Overview Christopher Potts 2021
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Supervised sentiment analysis: Stanford Sentiment Treebank Christopher Potts 2021
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Supervised sentiment analysis: DynaSent Christopher Potts 2021
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Supervised sentiment analysis: sst.py Christopher Potts 2021
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Supervised sentiment analysis: Hyperparameter search and classifier comparison Christopher Potts 2021
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Supervised sentiment analysis: Feature representation Christopher Potts 2021
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Supervised sentiment analysis: RNN classifiers Christopher Potts 2021
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Factor Analysis and PCA Angelica Sun 2021
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Lecture #3: Similarity Metrics and kd-Trees Tim Roughgarden, Gregory Valiant 2021
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Lecture #4: Dimensionality Reduction Tim Roughgarden, Gregory Valiant 2021
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Lecture #7: Understanding and Using Principal Component Analysis (PCA) Tim Roughgarden, Gregory Valiant 2021
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Lecture #8: How PCA Works Tim Roughgarden, Gregory Valiant 2021
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Lecture #9: The Singular Value Decomposition (SVD) and Low-Rank Matrix Approximations Tim Roughgarden, Gregory Valiant 2021
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Support vector machines Sanjoy Dasgupta 2020
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Varieties of meaning Jean Mark Gawron 2013
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Lexical Representations Jean Mark Gawron 2013
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Sentiment Analysis Diana Inkpen 2021
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Representation Learning Ian Goodfellow 2017
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Semantic Parsing Greg Durrett 2021
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Sentiment Analysis Greg Durrett 2021
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Constituency Parsing Jordan Boyd-Graber 2021
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Aoccdrnig to a rscheearch at an Elingsh uinervtisy, it deosn't mttaer in waht oredr the ltteers in a wrod are, the olny iprmoetnt tihng is taht frist and lsat ltteer is at the rghit pclae. The rset ca Jason Eisner' 2012
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Machine translation: Word-based models and the EM algorithm' Jason Eisner' 2012
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Spartus Jones' Jason Eisner' 2012
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Sentiment Treebank ! Crowdsourced fine-grained sentiment annotations' Tom Kwiatkowski' 2016
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Compositional Semantics' Tom Kwiatkowski' 2016
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Statistical NLP' Tom Kwiatkowski' 2016
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Lexical Semantics' ETHZ' 2013
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CS11-747 Neural Networks for NLP Neural Semantic Parsing' Graham Neubig' 2017
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PowerPoint Presentation' Kai-Wei Chang' 2016
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Lecture 18: Semantic Role Labeling & Semantic Parsing' Kai-Wei Chang' 2016
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Computational Formal Semantics Notes: Part 1 Adrian Brasoveanu 2013
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Computational Formal Semantics Notes: Part 2 Adrian Brasoveanu 2013
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Computational Formal Semantics Notes: Part 3 Adrian Brasoveanu 2013
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Computational Formal Semantics Notes: Part 4 Adrian Brasoveanu 2013
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Computational Formal Semantics Notes: Part 5 Adrian Brasoveanu 2013
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Computational Formal Semantics Notes: Part 6 Adrian Brasoveanu 2013
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Handout 10: Intro to CDRT+GQ Adrian Brasoveanu 2013
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Handout 11: Invited Lecture, Klaus von Heusinger, Two specific indefinite articles in German Adrian Brasoveanu 2013
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Handout 12: Negation and Disjunction in DRT Adrian Brasoveanu 2013
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Handout 13: Karttunen & Peters (1979) followed by Krahmer (1998) Adrian Brasoveanu 2013
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Handout 14: Presupposition and Montague Grammar Adrian Brasoveanu 2013
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Handout 15: van der Sandt (1992) followed by Krahmer (1998) Adrian Brasoveanu 2013
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Handout 1: Quantification in First-Order Logic Adrian Brasoveanu 2010
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Handout 2: Two Type Logics Adrian Brasoveanu 2010
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Handout 3: PTQ Revisited Adrian Brasoveanu 2010
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Handout 4: Going partial I Adrian Brasoveanu 2010
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Handout 5: Going partial II Adrian Brasoveanu 2010
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Handout 6: Situations & Propositional Attitudes Adrian Brasoveanu 2010
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Handout 8: Intro to DRT Adrian Brasoveanu 2010
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Handout 9: Intro to DPL+GQ Adrian Brasoveanu 2010
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Introduction to Categorial Grammar Stephen Clark 2013
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Introduction to Computational Semantics for Natural Language Ted Briscoe 2014
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Introduction to Formal Semantics for Natural Language Ted Briscoe 2014
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Neuro-symbolic NLP Jacob Andreas 2020
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Structured Losses Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Jacob Andreas 2020
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Shaping Visual Representations with Language for Few-Shot Classification Jacob Andreas 2020
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Meta-Learning Jacob Andreas 2020
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Tensor Product Representations and Holographic Reduced Representations Jacob Andreas 2020
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Discrete Representations Jacob Andreas 2020
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Modular Representations Jacob Andreas 2020
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Modular Computation Jacob Andreas 2020
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Tree(t)-Shaped Models Jacob Andreas 2020
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Fodor & Pylyshyn 1998 Lake & Baroni 2018 Jacob Andreas 2020
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Hu et al., 2020 Sinha et al., 2019 Jacob Andreas 2020
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On Learning the Past Tenses of Verbs Jacob Andreas 2020
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Text Similarity Intro Dragomir Radev 2017
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Stemming Dragomir Radev 2017
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Edit Distance Dragomir Radev 2017
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Semantic Similarity Dragomir Radev 2017
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Wordnet Dragomir Radev 2017
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Thesaurus-based Similarity Dragomir Radev 2017
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Vector Representations Dragomir Radev 2017
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Vector Semantics Dragomir Radev 2017
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Introduction to Dimensionality Reduction Dragomir Radev 2017
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Text Kernels Dragomir Radev 2017
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Entailment and Paraphrasing Dragomir Radev 2017
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Collocations Dragomir Radev 2016
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Introduction to Semantics and Logic Dragomir Radev 2017
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First Order Logic Dragomir Radev 2017
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Knowledge Representation Dragomir Radev 2017
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Inference Dragomir Radev 2017
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Semantic Parsing Dragomir Radev 2017
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Semantic Role Labeling Dragomir Radev 2017
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Sentiment Analysis Dragomir Radev 2017
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Sentiment Lexicons Dragomir Radev 2017
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NLTK with Python 3 for Natural Language Processing Author Unknown 2015
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Distributed MCMC Eric Xing 2014
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SRL, Semantic Parsing, Compositional Semantics 1 Mohit Bansal 2017
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Distributional Semantics Marine Carpuat 2018
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Inference Applications Dan Roth 2017
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Semantics I Greg Durrett 2018
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Semantics II / Seq2seq I Greg Durrett 2018
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Information Extraction / SRL Greg Durrett 2018
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Compositional Semantics Julia Hockenmaier 2018
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More on Compositional Semantics, Verb Semantics Julia Hockenmaier 2018
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Vector-space semantics Julia Hockenmaier 2018
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Vector-Space Lexical Semantics, Semantic Parsing, Combining Logical and Distributional Semantics I Lu Wang 2017
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Semantics cont'd Lu Wang 2017
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Sentiment Analysis, Opinion Mining, NLP and Social Media Lu Wang 2017
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Lexical Semantics Ralph Grishman 2018
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Intro to Semantics Ruihong Huang 2017
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Dense Vectors Ruihong Huang 2017
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Semantic Role Labeling Ruihong Huang 2017
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Introduction to IE Ruihong Huang 2017
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Bayes’ Nets: Inference Pieter Abbeel, Dan Klein 2018
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Unsupervised Learning in NLP Alan Ritter 2019
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Approximate Inference Sargur N. Srihari 2018
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Variational Inference Sargur N. Srihari 2018
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Variational Mixture of Gaussians Sargur N. Srihari 2018
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Need for Sampling Sargur N. Srihari 2018
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Basic Sampling Methods Sargur N. Srihari 2018
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N-gram language models Nathan Schneider 2019
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Semantic role labeling Nathan Schneider 2019
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Unigram Graham Neubig 2015
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Bigram Graham Neubig 2015
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Shallow NLP: Ngram Language Modelling Alex Lascarides, Shay Cohen 2019
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Inference Dragomir Radev 2018
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Wordnet Dragomir Radev 2018
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Semantic Similarity Dragomir Radev 2018
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Text Kernels Dragomir Radev 2018
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Semantic Role Labeling Dragomir Radev 2018
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Sentiment Analysis Dragomir Radev 2018
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Collocations Dragomir Radev 2018
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Edit Distance Dragomir Radev 2018
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Introduction to Dimensionality Reduction Dragomir Radev 2018
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Stemming Dragomir Radev 2018
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Entailment and Paraphrasing Dragomir Radev 2018
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Sentiment Lexicons Dragomir Radev 2018
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Thesaurus-based Similarity Dragomir Radev 2018
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Introduction to Semantics and Logic Dragomir Radev 2018
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Vector Representations Dragomir Radev 2018
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Knowledge Representation Dragomir Radev 2018
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First Order Logic Dragomir Radev 2018
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Semantic Parsing Dragomir Radev 2018
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Vector Semantics Dragomir Radev 2018
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Text Similarity Intro Dragomir Radev 2018
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Logic I Percy Liang 2017
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Logic III Percy Liang 2017
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Logic II Percy Liang 2017
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First-Order Logic George Konidaris 2016
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Knowledge Representation and Reasoning George Konidaris 2016
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Deep Learning Language Models and Word Embeddings Efstratios Gavves 2018
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Merging representations Hugo Larochelle 2017
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Natural language processing - tree inference Hugo Larochelle 2017
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Natural language processing - word representations Hugo Larochelle 2017
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Unsupervised Learning Principal Component Analysis Furong Huang 2018
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Principal components analysis John Paisley 2017
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Dimensionality Reduction Ethem Alpaydın 2014
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Principal Component Analysis Nicholas Zabaras 2017
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Dimensionality Reduction David Sontag 2016
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PCA, Kernel PCA, ICA Learning Representations. Dimensionality Reduction. Maria-Florina Balcan 2015
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Representing Words Kai-Wei Chang 2017
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Semantic Parsing Kai-Wei Chang 2017
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Representation Learning Kai-Wei Chang 2017
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Agreement, Types and Natural Language Semantics Shay Cohen 2017
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Lexing Verication of concurrent systems Lexing and other applications Shay Cohen 2017
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Computing Natural Language Semantics Informatics Shay Cohen 2017
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Distributed Semantics Yejin Choi 2018
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Frame Semantics Yejin Choi 2018
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Lagrangian Relaxa,on for MAP Inference Chris Dyer 2015
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Approximate Inference: Randomized Methods Chris Dyer 2015
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Soft Inference and Posterior Probabilities Chris Dyer 2015
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Vector Semantics David Bamman 2017
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Distributional Semantics Nathan Schneider 2018
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Distributional Semantics Brendan O?Connor 2015
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Lexical Semantics Brendan O?Connor 2015
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Vector Semantics Dense Vectors Marine Carpuat 2017
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Shallow Semantics Jacob Eisenstein 2014
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Distributional Lexical Semantics Jacob Eisenstein 2014
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Natural Language Semantics Jacob Eisenstein 2014
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Grounded Semantics Dan Klein 2014
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Natural Language Processing Compositional Semantics Dan Klein 2014
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Natural Language Processing Acoustic Models Dan Klein 2014
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Lecture 13: Dirichlet Processes Julia Hockenmaier 2013
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HDP-CCG Yonatan Bisk Julia Hockenmaier 2013
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Lecture 3: Comparing frequentist and Bayesian estimation techniques Julia Hockenmaier 2013
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Lecture 5: Sampling (Monte Carlo Methods) Julia Hockenmaier 2013
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Lexical Semantics Yoav Artzi 2018
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Statistical Models of Semantics and Unsupervised Language Discovery Lecture #18 Andrew McCallum 2007
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String Edit Distance (and intro to dynamic programming) Andrew McCallum 2007
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Practical Sentiment Analysis Tutorial Yoav Goldberg 2018
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Probabilistic approaches to semantic representation Yoav Goldberg 2018
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????? ???? ?????? Yoav Goldberg 2018
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A Note on Latent Semantic Analysis Yoav Goldberg 2018
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Semantics: Roles and Relations Sameer Singh 2017
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Lecture 11: Inference in Bayesian NLP Kevin Gimpel 2017
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Semantic Parsing Raymond J. Mooney 2017
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Semantic Role Labeling Raymond J. Mooney 2017
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vector-space (distributional) lexical semantics Raymond J. Mooney 2017
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Lecture 14: Introduction to Computational Semantics Kevin Gimpel 2016
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Lecture 1: Introduction Kevin Gimpel 2016
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Natural Language Processing (CSEP 517): Distributional Semantics Noah Smith 2017
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Natural Language Processing (CSEP 517): Predicate-Argument and Compositional Semantics Noah Smith 2017
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CS11-747 Neural Networks for NLP Using/Evaluating Sentence Graham Neubig 2017
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CS11-747 Neural Networks for NLP Learning From/For Knowledge Bases Graham Neubig 2017
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Computing with a Thesaurus Dan Jurafsky 2017
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Computing with Affective Lexicons Affective, Sentimental, Dan Jurafsky 2017
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Selectional Restrictions Dan Jurafsky 2017
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Sentiment Analysis What is Sentiment Dan Jurafsky 2017
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Semantic Role Labeling Dan Jurafsky 2017
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Minimum Edit Distance Dan Jurafsky 2017
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Phonology and speech applications with weighted automata Susan W. Brown 2015
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Predicate Logic and Proposition Bank Susan W. Brown 2015
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Natural Language Processing Lecture 19.2 Susan W. Brown 2015
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LEXICAL SEMANTICS Trevor Cohn 2018
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Word Similarity Dan Jurafsky 2015
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Word Similarity Dan Jurafsky 2015
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Word Sense Disambiguation Dan Jurafsky 2015
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Word Sense Disambiguation Dan Jurafsky 2015
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Distributional (Vector) Semantics Dan Jurafsky 2015
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Distributional (Vector) Semantics Dan Jurafsky 2015
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Lexicons for affect, connotation and sentiment Dan Jurafsky 2015
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Lexicons for affect, connotation and sentiment Dan Jurafsky 2015
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Thesaurus induction and relation extraction Dan Jurafsky 2015
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Thesaurus induction and relation extraction Dan Jurafsky 2015
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FrameNet, PropBank, Semantic Role Labeling Dan Jurafsky 2015
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FrameNet, PropBank, Semantic Role Labeling Dan Jurafsky 2015
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Selectional Restrictions Dan Jurafsky 2015
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Selectional Restrictions Dan Jurafsky 2015
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Inducing Narrative Frames Dan Jurafsky 2015
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Inducing Narrative Frames Dan Jurafsky 2015
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Examples of Viterbi, Forward, and Backward algorithms Jacob Eisenstein 2018
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Semantic Matching in Search Hang Li, Jun Xu 2014
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Mathematics for Machine Learning: Dimensionality Reduction with Principal Component Analysis Marc Peter Deisenroth, A Aldo Faisal, Cheng Soon Ong 2018
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Linear Dimensionality Reduction: Survey, Insights, and Generalizations John P. Cunningham, Zoubin Ghahramani 2015
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Toward Abstractive Summarization Using Semantic Representations Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh, Noah A. Smith 2015
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Neural Headline Generation on Abstract Meaning Representation Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata 2016
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Traversing Knowledge Graphs in Vector Space Kelvin Gu, John Miller, Percy Liang 2015
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Data recombination for neural semantic parsing Robin Jia, Percy Liang 2016
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Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs Swabha Swayamdipta, Miguel Ballesteros, Chris Dyer, Noah A Smith 2016
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Data Recombination for Neural Semantic Parsing Robin Jia, Percy Liang 2016
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Neural Shift-Reduce CCG Semantic Parsing Dipendra Kumar Misra, Yoav Artzi 2016
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Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, Jonathan May 2015
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Robust Subgraph Generation Improves Abstract Meaning Representation Parsing Keenon Werling, Gabor Angeli, Christopher D. Manning 2015
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An Incremental Parser for Abstract Meaning Representation Marco Damonte, Shay B. Cohen, Giorgio Satta 2016
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A Probabilistic Generative Grammar for Semantic Parsing Abulhair Saparov, Tom M Mitchell 2016
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Sentence Rewriting for Semantic Parsing Bo Chen, Le Sun, Xianpei Han, Bo An 2016
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AMR-to-text generation as a Traveling Salesman Problem Linfeng Song, Yue Zhang, Xiaochang Peng, Zhiguo Wang, Daniel Gildea 2016
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Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge Matt Gardner, Jayant Krishnamurthy 2016
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The More You Know: Using Knowledge Graphs for Image Classification Kenneth Marino, Ruslan Salakhutdinov, Abhinav Gupta 2016
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Latent Semantic Analysis Thomas Landauer, Susan Dumais 2008
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From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney, Patrick Pantel 2010
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Unsupervised Semantic Parsing Hoifung Poon and Pedro Domingos 2009
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