Topic 3: Semantics and Logic 454


Title (link) Author Date Votes Error Reviews
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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Incorporating Both Distributional and Relational Semantics in Word Representations Daniel Fried, Kevin Duh 2014
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Generating descriptive multi-document summaries of geo-located entities using entity type models Ahmet Aker, Robert Gaizauskas 2014
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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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Latent Semantic Analysis Thomas Landauer, Susan Dumais 2008
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Title (link) Author Date Votes Error Reviews
Sentiment Analysis in Practice Yongzheng (Tiger) Zhang, Dan Shen, Catherine Baudin 2011
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Semantic Role Labeling Past, Present and Future Lluis Marquez 2009
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Automatic Semantic Role Labeling Scott Wen-tau Yih, Kristina Toutanova 2006
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Opinion Mining: Exploiting the Sentiment of the Crowd Diana Maynard, Adam Funk, Kalina Bontcheva 2012
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Multilingual Sentiment and Subjectivity Analysis Rada Mihalcea, Carmen Banea, Janyce Wiebe 2012
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Sentiment Analysis and Opinion Mining Bing Liu 2011
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VerbNet Karin Kipper Schuler, Anna Korhonen, Susan Brown 2017
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Empirical Methods in Natural Language Processing Lecture 11 Word Sense Disambiguation Philipp Koehn 2008
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Textual Entailment Ido Dagan, Dan Roth, Fabio Massimo Zanzotto 2007
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Markov Logic in Natural Language Processing Hoifung Poon 2010
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Semantic Parsing: The Task, the State of the Art and the Future Rohit J. Kate, Yuk Wah Wong 2010
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Computational Analysis of Affect and Emotion in Language Saif M. Mohammad, Cecilia Ovesdotter Alm 2015
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Sentiment Analysis of Social Media Texts Saif M. Mohammad, Xiaodan Zhu 2014
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Learning Semantic Relations from Text Preslav Nakov, Diarmuid O' Seaghdha, Vivi Nastase, Stan Szpakowicz 2015
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Semantic Similarity Frontiers: From Concepts to Documents David Jurgens, Mohammad Taher Pilehvar 2015
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New Directions in Vector Space Models of Meaning Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom 2014
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Semantic Parsing with Combinatory Categorial Grammars Yoav Artzi, Nicholas FitzGerald and Luke Zettlemoyer 2013
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MASWS Natural Language and the SemanticWeb Kate Byrne 2011
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Modeling Natural Language Semantics with Learned Representations Samuel R. Bowman 2016
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Mining Large Time-evolving Data Using Matrix and Tensor Tools Christos Faloutsos, Tamara G. Kolda Sandia, Jimeng Sun 2007
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Opinion Mining & Summarization - Sentiment Analysis Bing Liu 2008
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Semantics for Semantic Parsing Mark Steedman 2014
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Matrix and Tensor Factorization Methods for Natural Language Processing Guillaume Bouchard, Jason Naradowsky, Sebastian Riedel, Tim Rocktaschel, Andreas Vlachos 2015
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Advances in Word Sense Disambiguation Ted Pedersen, Rada Mihalcea 2005
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Chinese Textual Sentiment Analysis: Datasets, Resources and Tools Wei-Fan Chen and Lun-Wei Ku 2016
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SVD decomposition with numpy Adam Glenn 2012
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SVD in Python Gerard Toonstra 2009
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Decoding Dimensionality Reduction, PCA and SVD Manu Jeevan 2015
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Latent Semantic Analysis in Python Joseph Wilk 2007
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Latent Semantic Analysis with Term-Document matrix Adam Glenn 2011
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Principal Component Analysis with numpy Adam Glenn 2011
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Eigenvectors animated gif Adam Glenn 2011
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Singular Value Decomposition Notes Deniz Yuret 2005
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Nutrition & Principal Component Analysis: A Tutorial Annalyn Ng 2016
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tSNEJS demo Andrej Karpathy 2014
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Unsupervised Representation Learning Yann Le Cun 2017
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Generative Adversarial Networks (GANs) Ian Goodfellow 2016
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Advanced Markov Logic Techniques for Scalable Joint Inference in NLP Deepak Venugopal, Vibhav Gogate, and Vincent Ng 2016
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Neural Network for Sentiment Analysis Yue Zhang and Duy Tin Vo 2016
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ARK SYntactic & Semantic Parsing Demo Carnegie Mellon ARK 2017
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SippyCup Unit 0: Introduction to semantic parsing Bill MacCartney 2015
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SippyCup Unit 1: Natural language arithmetic Bill MacCartney 2015
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SippyCup Unit 2: Travel queries Bill MacCartney 2015
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SippyCup Unit 3: Geography 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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GloVe: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher Manning 2014
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The amazing power of word vectors Adrian Coyler 2016
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Bag of Words Meets Bags of Popcorn Angela Chapman 2014
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Bag of Words Meets Bags of Popcorn Part 2: Word Vectors Angela Chapman 2014
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Bag of Words Meets Bags of Popcorn Part 3: More fun with Word Vectors Angela Chapman 2014
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Bag of Words Meets Bags of Popcorn Part 4: Compaing deep and non-deep learning methods Angela Chapman 2014
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Vector Representation of Words TensorFlow 2016
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How does Word2Vec work? Ajit Rajasekharan 2017
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Deep Learning with Word2Vec Radim Rehurek 2017
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Copora and Vector Spaces Radim Rehurek 2016
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gensim Tutorials Radim Rehurek 2017
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Bag of Words Meets Bags of Popcorn Angela Chapman 2014
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Language Exploitation Using Vector Space Models John Wittenauer 2015
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Deep Learning with paragraph2vec Radim Rehurek 2015
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Semantic Role Labeling Tutorial - Part 1 Martha Palmer, Shumin Wu, Ivan Titov 2013
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Semantic Role Labeling Tutorial - Part 2 Shumin Wu 2013
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Semantic Role Labeling Tutorial - Part 3 Ivan Titov 2013
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Applications of FrameNet and ASRL Collin F. Baker 2015
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FrameNet for NLP Getting the meaningful roles right Collin F. Baker 2015
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FrameNet Data Creation Nitty-Gritty Michael Ellsworth 2015
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The FrameNet Website Michael Ellsworth 2015
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The NLTK FrameNet Lexicon API Nathan Schneider 2015
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The Components of FrameNet Miriam R. L. Petruck 2015
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Frame-Semantic Parsing Nathan Schneider 2015
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LSTM Networks for Sentiment Analysis Pierre Luc Carrier and Kyunghyun Cho 2017
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Distributional Semantics Author Unkown 2012
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Phrase (collocation) detection Radim Rehurek 2017
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Visualizing MNIST: An Exploration of Dimensionality Reduction Christopher Olah 2014
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Jonker-Volgenant Algorithm + t-SNE = Super Powers Vadim Markovtsev 2017
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Faiss: A library for efficient similarity search Matthijs Douze , Jeff Johnson , Hervé Jegou 2017
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What is an Ontology? The simplest definition you’ll find… or your money back Jo Stichbury 2017
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dimensionality reduction technique -tsne vs. PCA Zenodia Charpy 2017
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Comprehensive Guide on t-SNE algorithm with implementation in R & Python SAURABH.JAJU2 2017
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Latent Semantic Analysis (LSA) for Text Classification Tutorial Chris McCormick 2016
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Principal components analysis Pablo Martin 2017
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Compositional Semantic Parsing on Semi-Structured Tables Ice Pasupat, Percy Liang 2015
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An illustrated introduction to the t-SNE algorithm Cyrille Rossant 2015
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Cyc Knowledge Base Visualization Demo Lucid AI 2016
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Natural Language Understanding in a Continuous Space Phil Blunsom 2014
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Multilingual Word Sense Disambiguation and Entity Linking Roberto Navigli 2015
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Unsupervised and Cross-lingual Induction of Semantic Representations Ivan Titov 2014
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Twitter Sentiment Analysis with Gensim, Word2Vec, and Keras Convolutional Networks Giuseppe Bonaccorso 2017
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Checking out dimensionality reduction with t-SNE Kshitiz Rimal 2017
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Computational Semantics: Day 3, Computing Meanings Johan Bos 2016
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Computational Semantics: Day 4, Drawing Inferences Johan Bos 2016
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Computational Semantics: Day 1, Exploring Models Johan Bos 2016
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Computational Semantics: Day 5, Meaning Banking Johan Bos 2016
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Computational Semantics: Day 2, Meaning Representations Johan Bos 2016
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Computational Semantics: Overview Johan Bos 2016
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Lexical Semantics in Formal Semantics:History and Challenges Barbara H. Partee 2016
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The Beginner's Guide to Kaggle Author Unknown 2017
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CRF as RNN Semantic Image Segmentation Live Demo Shuai Zheng, Sadeep Jayasumana, Bernardino Romera-Paredes, Philip Torr 2017
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Try logic programming! A gentle introduction to Prolog Bernardo Pires 2013
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Practical Guide to Principal Component Analysis (PCA) in R and Python Analytics Vidhya Content Team 2016
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Predicting Reddit News Sentiment with Naive Bayes and Other Text Classifiers Nikos Koufos 2017
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Learning paraphrastic representations of natural language sentences Kevin Gompel 2015
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How to Develop a Deep Learning Bag-of-Words Model for Predicting Movie Review Sentiment Jason Brownlee 2017
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Geometric deep learning on graphs and manifolds Michael Bronstein, Joan Bruna, Yann Lecun 2017
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Knowledge Graph Construction from Text: Embedding Techniques Jay Pujara , Sameer Singh , Bhavana Dalvi 2017
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Knowledge Graph Construction from Text: Overview and Conclusion Jay Pujara , Sameer Singh , Bhavana Dalvi 2017
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From Deep Learning of Disentangled Representations to Higher-Level Cognition Yoshua Bengio 2017
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Semantic Representations of Word Senses and Concepts Jose Camacho Collados, Ignacio Iacobacci, Roberto Navigli, Mohammad Taher Pilehvar 2016
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Role of Tensors in Large-Scale Machine Learning Anima Anandkumar 2018
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Title (link) Lecturer Date Votes Error Reviews
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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Introduction to Word Sense Disambiguation Dragomir Radev 2017
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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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Introduction to Word Sense Disambiguation 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 Ansaf Salleb-Aouissi 2014
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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 - one-hot encoding 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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Application: Discovering Collocations Frank Keller 2016
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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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Distributional semantics Jinho D. Choi 2017
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Sentiment analysis Jinho D. Choi 2017
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Semantic role labeling Jinho D. Choi 2017
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Vector Semantics David Bamman 2017
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Distributional Semantics Nathan Schneider 2018
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Classication: Nave Bayes 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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WSD Key Concepts Word 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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What are n-grams good for? Language ID Jason Eisner 2012
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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 Jason Eisner 2012
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Grouping Words Linguistic Objects in this Course Jason Eisner 2012
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Current & Future NLP Research A Few Random Remarks Jason Eisner 2012
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Last Class Jason Eisner 2012
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Machine translation: Word-based models and the EM algorithm Jason Eisner 2012
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Words vs. Terms Jason Eisner 2012
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Spartus Jones Jason Eisner 2012
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Connectin gthe dots I (NLP in Practice) Jason Eisner 2012
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Topic Modeling Jason Eisner 2012
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Semantics From Syntax to Meaning! Jason Eisner 2012
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Human Sentence Processing Lexicalized Parsing Jason Eisner 2012
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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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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 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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WORD SENSE DISAMBIGUATION 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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Lexical Semantics ETHZ 2013
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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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Word Sense Disambiguation Raymond J. Mooney 2017
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Empirical Methods in Natural Language Processing Lecture 11 Philipp Koehn 2008
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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 Neural Semantic Parsing 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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Word Sense Disambiguation 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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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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Title (link) Lecturer Date Votes Error Reviews
NLTK with Python 3 for Natural Language Processing Author Unknown 2015
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Lab #2: Document Similarity using NLTK and Scikit-Learn Author Unknown 2014
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Title (link) Author Date Votes Error Reviews
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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Learning Semantic Composition with Dictionaries Felix Hill, Roi Reichart, Anna Korhonen, Yoshua Bengio 2016
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Cross-lingually enriched using canonical correlation across languages Faruqui, Dyer 2014
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PETE: Parser Evaluation using Textual Entailments Deniz Yuret 2010
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EuroSense: Automatic Harvesting of Multilingual Sense Annotations from Parallel Text Claudio Delli Bovi, José Camacho Collados, Alessandro Raganato, Roberto Navigli 2017
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STSbenchmark Daniel Cer, Mona Diab, Eneko Agirre, Iñigo Lopez-Gazpio, Lucia Specia 2017
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Datasets of Annotated Semantic Relationships David S. Batista 2016
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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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Title (link) Author Date Votes Error Reviews
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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Sentiment140 Alec Go, Richa Bhayani, Lei Huang 2013
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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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Word Vector Evaluation Manaal Faruqui, Chris Dyer 2014
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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 Baši? 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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CherryPicker : A Coreference Resolution Tool Altaf Rahman, Vincent Ng 2009
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editdistance Hiroyuki Tanaka 2016
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UMBC Semantic Similarity Service Lushan Han 2013
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Stanford Deterministic Coreference Resolution System Heeyoung Lee, Yves Peirsman, Angel Chang, Nathanael Chambers, Mihai Surdeanu, Dan Jurafsky, Marta Recasens, Marie-Catherine de Marneffe, Christopher Potts, Karthik Raghunathan, Heeyoung Lee, Sudarshan 2013
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Berkeley Coreference Resolution System Greg Durrett, David Hall, Dan Klein 2013
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Reconcile - Coreference Resolution Engine Ves Stoyanov, Claire Cardie, Nathan Gilbert, Ellen Riloff, David Buttler, David Hysom 2010
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Illinois Coreference Package Dan Roth, Eric Bengtson 2015
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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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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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Train-O-Matic Roberto Navigli and Tommaso Pasini 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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PYWSD: Python Implementations of Word Sense Disambiguation (WSD) Technologies Liling Tan 2014
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Troll: Language Sentiment Analysis and Neural Networks... for trolls Heather Arthur 2017
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Word Sense Disambiguation Corpora Dayu Yuan 2017
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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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Mini Sequence Labeler Hal Daume III 2017
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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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py-mate-tools 1.0 ??? 2015
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Mateplus Author Unknown 2017
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Suggested Upper Merged Ontology (SUMO) Adam Pease 2017
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Semeval 2012 Task 17 Author Unknown 2012
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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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segeval 2.0.11 Chris Fournier 2013
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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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Semantic Entity Retrieval Toolkit Christophe Van Gysel, Maarten de Rijke, Marcel Worring 2016
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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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Title (link) Author Date Votes Error Reviews
Survey: Semantic Role Labeling and Dependency Parsing Janardhan Singh 2013
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Semantic Role Labeling: An Introduction to the Special Issue Lluis Marquez, Xavier Carreras, Kenneth C.Litkowski, Suzanne Stevenson 2008
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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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A Survey of Paraphrasing and Textual Entailment Methods Ion Androutsopoulos, Prodromos Malakasiotis 2010
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Word Sense Disambiguation: A Survey Roberto Navigli 2009
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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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Thought Vectors, Deep Learning & the Future of AI DL4J 2016
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Advanced Semantic Representation (SemRep) Nathan Schneider 2017
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CS229 Lecture notes: Part XI Principal Component Analysis Andrew Ng 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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Graphical Models in a Nutshell Daphne Koller 2007
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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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Word Senses and Relations Daniel Jurafsky 2017
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Word Sense Disambiguation Daniel Jurafsky 2017
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Deep Learning for Sentiment Analysis: A Survey Lei Zhang, Shuai Wang, Bing Liu 2018
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Integrating Generative Lexicon and Lexical Semantic Resources James Pustejovsky, Elisabetta Jezek 2016
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Multiword Expression Processing: A Survey Mathieu Constant, Gül?en Eryi?it, Johanna Monti, Lonneke van der Plas 2017
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Title (link) Author Date Votes Error Reviews
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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Thorny Stems Eric Breck 2008
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We are all molistic in a way Dragomir Radev 2007
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Title (link) Author Date Votes Error Reviews
lamvi - Language Model Visual Inspector Xin Rong 2016
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Twitter Sentiment - Resources Many Authors 2017
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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
- 0 +
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International Workshop on Semantic Evaluation Author 2017
- 0 +
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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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Sentiment Analysis Algorithmia 2017
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Stanford NLP: Sentiment Analysis Jason Chuang 2013
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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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Introduction to Pseudo-Labelling: A Semi-Supervised Learning Technique Shubham Jain 2017
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Visualizing Top Tweeps with t-SNE, in Javascript Andrej Karpathy 2014
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FrameNet Collin Baker 2017
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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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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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Discovering Types for Entity Disambiguation Jonathon Raiman 2018
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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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Deep Dive Into Sentiment Analysis Parth Shrivastava 2017
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Cononical Correlation Inference for Mapping Abstract Scenes to Text Nikos Papasarantopoulos, Helen Jiang, Shay B. Cohen 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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Advances in Semantic Textual Similarity Yinfei Yang, Chris Tar 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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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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Twitter Sentiment Analysis Using Combined LSTM-CNN Models Author Unknown 2018
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