Topic 3: Semantics and Logic 627


Title (link) Author Date Votes Error
Zoink! Dragomir Radev, Christiane Fellbaum, and Jonathan May 2015
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Thorny Stems Eric Breck 2008
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Hypo-Hmong-driac David Mortensen 2009
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Levenshtein's Fine Signs Blake Allen and Patrick Littell 2014
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A fox among the h Patrick Littell 2012
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A Matter of Horn Clauses Josh Falk 2016
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Bertrand and Russell Ben King 2014
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The Little Engine that Could... Read Patrick Littell and James Pustejovsky 2012
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Orwellspeak Jason Eisner 2009
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Title (link) Lecturer Date Votes Error
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
SimLex-999 Felix Hill, Roi Reichart and Anna Korhonen 2014
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Rephraser various 2019
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Paraphrase various 2019
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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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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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Datasets of Annotated Semantic Relationships David S. Batista 2016
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STSbenchmark Daniel Cer, Mona Diab, Eneko Agirre, Iñigo Lopez-Gazpio, Lucia Specia 2017
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The Stanford Natural Language Inference (SNLI) Corpus Stanford NLP Group 2017
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Learning Semantic Composition with Dictionaries Felix Hill, Roi Reichart, Anna Korhonen, Yoshua Bengio 2016
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Title (link) Lecturer Date Votes Error
Parsing Graham Neubig 2015
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Distributional Lexical Semantics Jacob Eisenstein 2014
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Entailment and Paraphrasing Dragomir Radev 2017
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Introduction to Dimensionality Reduction Dragomir Radev 2017
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Bigram Graham Neubig 2015
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Merging representations Hugo Larochelle 2017
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Semantic Role Labeling Raymond J. Mooney 2017
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Frame Semantics Yejin Choi 2018
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More on Compositional Semantics, Verb Semantics Julia Hockenmaier 2018
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Neuro-symbolic NLP Jacob Andreas 2020
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Semantic Parsing Raymond J. Mooney 2017
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Soft Inference and Posterior Probabilities Chris Dyer 2015
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Vector-space semantics Julia Hockenmaier 2018
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Computing with Affective Lexicons Affective, Sentimental, Dan Jurafsky 2017
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Empirical Methods in Natural Language Processing Lecture 11 Philipp Koehn 2008
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Need for Sampling Sargur N. Srihari 2018
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CS11-747 Neural Networks for NLP Neural Semantic Parsing' Graham Neubig' 2017
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Vector-Space Lexical Semantics, Semantic Parsing, Combining Logical and Distributional Semantics I Lu Wang 2017
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CS11-747 Neural Networks for NLP Using/Evaluating Sentence Graham Neubig 2017
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Word Sense Disambiguation Raymond J. Mooney 2017
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Stemming Dragomir Radev 2017
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Information Extraction / SRL Greg Durrett 2018
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Independent Component Analysis Mark Schmidt 2017
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Natural Language Processing Lecture 19.2 Susan W. Brown 2015
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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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Wordnet Dragomir Radev 2017
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Discrete Representations Jacob Andreas 2020
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Predicate Logic and Proposition Bank Susan W. Brown 2015
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Statistical NLP' Tom Kwiatkowski' 2016
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Text Kernels Dragomir Radev 2018
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Introduction to Word Sense Disambiguation Dragomir Radev 2017
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????? ???? ?????? Yoav Goldberg 2018
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Grounded Semantics Dan Klein 2014
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Collocations Dragomir Radev 2016
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Edit Distance Dragomir Radev 2017
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Classication: Nave Bayes Nathan Schneider 2018
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PCA, Kernel PCA, ICA Learning Representations. Dimensionality Reduction. Maria-Florina Balcan 2015
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Logic I Percy Liang 2017
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A Note on Latent Semantic Analysis Yoav Goldberg 2018
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Dense Vectors Ruihong Huang 2017
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Natural Language Processing Acoustic Models Dan Klein 2014
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Hu et al., 2020 Sinha et al., 2019 Jacob Andreas 2020
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Shallow Semantics Jacob Eisenstein 2014
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Unigram Graham Neubig 2015
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Vector Representations Dragomir Radev 2018
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Semantic Role Labeling Dragomir Radev 2018
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Distributed Semantics Yejin Choi 2018
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Vector Semantics Dragomir Radev 2017
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Compositionality Jacob Andreas 2020
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Probabilistic approaches to semantic representation Yoav Goldberg 2018
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Approximate Inference: Randomized Methods Chris Dyer 2015
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First Order Logic Dragomir Radev 2017
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Semantics II / Seq2seq I Greg Durrett 2018
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Lecture 5: Sampling (Monte Carlo Methods) Julia Hockenmaier 2013
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WORD SENSE DISAMBIGUATION Yoav Goldberg 2018
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Variational Mixture of Gaussians Sargur N. Srihari 2018
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Vector Representations Dragomir Radev 2017
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Compositional Semantics' Tom Kwiatkowski' 2016
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Entailment and Paraphrasing Dragomir Radev 2018
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Introduction to Word Sense Disambiguation Dragomir Radev 2018
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Representation Learning Kai-Wei Chang 2017
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SRL, Semantic Parsing, Compositional Semantics 1 Mohit Bansal 2017
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Statistical Models of Semantics and Unsupervised Language Discovery Lecture #18 Andrew McCallum 2007
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Tensor Product Representations and Holographic Reduced Representations Jacob Andreas 2020
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Selectional Restrictions Dan Jurafsky 2017
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Machine translation: Word-based models and the EM algorithm' Jason Eisner' 2012
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Text Kernels Dragomir Radev 2017
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Text Similarity Intro Dragomir Radev 2018
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Lexical Semantics' ETHZ' 2013
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Word Sense Disambiguation Lu Wang 2017
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Sentiment Analysis Dragomir Radev 2018
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Dimensionality Reduction David Sontag 2016
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Introduction to Semantics and Logic Dragomir Radev 2018
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Principal Component Analysis Nicholas Zabaras 2017
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Semantic role labeling Nathan Schneider 2019
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Inference Dragomir Radev 2017
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Vector Semantics Dense Vectors Marine Carpuat 2017
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Sentiment Lexicons Dragomir Radev 2017
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Fodor & Pylyshyn 1998 Lake & Baroni 2018 Jacob Andreas 2020
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Bayes’ Nets: Inference Pieter Abbeel, Dan Klein 2018
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N-gram language models Nathan Schneider 2019
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Minimum Edit Distance Dan Jurafsky 2017
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Computing Natural Language Semantics Informatics Shay Cohen 2017
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Natural language processing - one-hot encoding Hugo Larochelle' 2019
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Semantic Matching in Search Hang Li, Jun Xu 2014
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CS11-747 Neural Networks for NLP Learning From/For Knowledge Bases Graham Neubig 2017
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Natural Language Processing Compositional Semantics Dan Klein 2014
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Lagrangian Relaxa,on for MAP Inference Chris Dyer 2015
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Semantics I Greg Durrett 2018
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Lecture 3: Comparing frequentist and Bayesian estimation techniques Julia Hockenmaier 2013
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WSD Key Concepts Word Jacob Eisenstein 2014
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Lexical Semantics Brendan O?Connor 2015
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Text Similarity Intro Dragomir Radev 2017
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Lecture 1: Introduction Kevin Gimpel 2016
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Knowledge Representation Dragomir Radev 2018
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Introduction to Semantics and Logic Dragomir Radev 2017
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Representing Words Kai-Wei Chang 2017
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Natural Language Semantics Jacob Eisenstein 2014
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PowerPoint Presentation' Kai-Wei Chang' 2016
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Meta-Learning Jacob Andreas 2020
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Examples of Viterbi, Forward, and Backward algorithms Jacob Eisenstein 2018
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First-Order Logic George Konidaris 2016
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Variational Inference Sargur N. Srihari 2018
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Principal Component Analysis Nicholas Zabaras' 2019
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Word Sense Julia Hockenmaier 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 components analysis John Paisley' 2019
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Vector Semantics David Bamman 2017
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Sentiment Treebank ! Crowdsourced fine-grained sentiment annotations' Tom Kwiatkowski' 2016
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Tree(t)-Shaped Models Jacob Andreas 2020
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Inference Applications Dan Roth 2017
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Knowledge Representation Dragomir Radev 2017
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Application: Discovering Collocations Frank Keller 2016
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String Edit Distance (and intro to dynamic programming) Andrew McCallum 2007
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Agreement, Types and Natural Language Semantics Shay Cohen 2017
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Merging representations Hugo Larochelle' 2019
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Phonology and speech applications with weighted automata Susan W. Brown 2015
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Knowledge Representation and Reasoning George Konidaris 2016
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Semantic Parsing Kai-Wei Chang 2017
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Inference Dragomir Radev 2018
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Distributional Semantics Marine Carpuat 2018
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Computing with a Thesaurus Dan Jurafsky 2017
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Lecture 13: Dirichlet Processes Julia Hockenmaier 2013
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Sentiment Jordan Boyd-Graber 2019
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Lexing Verication of concurrent systems Lexing and other applications Shay Cohen 2017
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Lexical Semantic Processing: Computing with word senses Alex Lascarides, Shay Cohen 2019
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vector-space (distributional) lexical semantics Raymond J. Mooney 2017
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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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Compositional Semantics Julia Hockenmaier 2018
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Natural language processing - word representations Hugo Larochelle 2017
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Distributional Semantics Brendan O?Connor 2015
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Spartus Jones' Jason Eisner' 2012
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Shaping Visual Representations with Language for Few-Shot Classification Jacob Andreas 2020
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First Order Logic Dragomir Radev 2018
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Approximate Inference Sargur N. Srihari 2018
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Thesaurus-based Similarity Dragomir Radev 2018
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Lexical Semantics Ralph Grishman 2018
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Word Sense Disambiguation Marine Carpuat 2018
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Unsupervised Learning Principal Component Analysis Furong Huang 2018
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Semantic Parsing Dragomir Radev 2017
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Introduction to Dimensionality Reduction Dragomir Radev 2018
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Introduction to IE Ruihong Huang 2017
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Unsupervised Learning Principal Component Analysis Furong Huang' 2019
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Deep Learning Language Models and Word Embeddings Efstratios Gavves 2018
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Modular Computation Jacob Andreas 2020
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Dimensionality Reduction Ethem Alpaydın' 2019
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Natural Language Processing (CSEP 517): Predicate-Argument and Compositional Semantics Noah Smith 2017
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Collocations Dragomir Radev 2018
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Edit Distance Dragomir Radev 2018
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Sentiment Analysis What is Sentiment Dan Jurafsky 2017
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Logic II Percy Liang 2017
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Semantics: Roles and Relations Sameer Singh 2017
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Semantic Parsing Dragomir Radev 2018
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Wordnet Dragomir Radev 2018
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Sentiment Lexicons Dragomir Radev 2018
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Sentiment Analysis, Opinion Mining, NLP and Social Media Lu Wang 2017
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Sentiment Analysis Dragomir Radev 2017
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Lexical Semantics Yoav Artzi 2018
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Shallow NLP: Ngram Language Modelling Alex Lascarides, Shay Cohen 2019
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Natural language processing - one-hot encoding Hugo Larochelle 2017
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Semantic Similarity Dragomir Radev 2017
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Semantic Role Labeling Dan Jurafsky 2017
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Distributional Semantics Nathan Schneider 2018
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Intro to Semantics Ruihong Huang 2017
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Structured Losses Zero-Shot Task Generalization with Multi-Task Deep Reinforcement Learning Jacob Andreas 2020
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Lecture 14: Introduction to Computational Semantics Kevin Gimpel 2016
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Lecture 11: Inference in Bayesian NLP Kevin Gimpel 2017
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Distributed MCMC Eric Xing 2014
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Thesaurus-based Similarity Dragomir Radev 2017
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Basic Sampling Methods Sargur N. Srihari 2018
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Lecture 18: Semantic Role Labeling & Semantic Parsing' Kai-Wei Chang' 2016
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Semantics cont'd Lu Wang 2017
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Word Sense Disambiguation Dan Jurafsky 2017
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Stemming Dragomir Radev 2018
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Semantic Role Labeling Ruihong Huang 2017
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LEXICAL SEMANTICS Trevor Cohn 2018
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Vector Semantics Dragomir Radev 2018
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Modular Representations Jacob Andreas 2020
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PCA, SVD and Fisher Linear Discriminant Alan Yuille 2014
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Semantic Role Labeling Dragomir Radev 2017
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Natural Language Processing (CSEP 517): Distributional Semantics Noah Smith 2017
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Practical Sentiment Analysis Tutorial Yoav Goldberg 2018
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Logic III Percy Liang 2017
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Semantic Similarity Dragomir Radev 2018
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Unsupervised Learning in NLP Alan Ritter 2019
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HDP-CCG Yonatan Bisk Julia Hockenmaier 2013
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On Learning the Past Tenses of Verbs Jacob Andreas 2020
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Title (link) Author Date Votes Error
Latent Semantic Analysis Thomas Landauer, Susan Dumais 2008
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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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From Frequency to Meaning: Vector Space Models of Semantics Peter D. Turney, Patrick Pantel 2010
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Linear Dimensionality Reduction: Survey, Insights, and Generalizations John P. Cunningham, Zoubin Ghahramani 2015
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Incorporating Both Distributional and Relational Semantics in Word Representations Daniel Fried, Kevin Duh 2014
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Unsupervised Semantic Parsing Hoifung Poon and Pedro Domingos 2009
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Title (link) Author Date Votes Error
Minimum Edit Distance Dan Jurafsky, James H. Martin 2020
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Chapter 19: Semantic Role Labeling and Argument Structure Dan Jurafsky, James H. Martin 2020
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Minimum Edit Distance Dan Jurafsky, James H. Martin 2020
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Chapter 20: Lexicons for Sentiment, Affect, and Connotation Dan Jurafsky, James H. Martin 2020
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Title (link) Author Date Votes Error
Naive Bayes and Sentiment Classification Daniel Jurafsky 2017
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Advanced Semantic Representation (SemRep) Nathan Schneider 2017
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Stock Trend Prediction Using News Sentiment Analysis Kalyani Joshi, Bharathi H. N., Jyothi Rao 2016
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Sentiment Analysis and Opinion Mining Bing Liu 2012
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Lexicons for Sentiment and Affect Extraction Daniel Jurafsky, James H. Martin 2017
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Recognizing Textual Entailment Models and Applications Ido Dagan, Dan Roth, Mark Sammons, Fabio Massimo Zanzotto 2013
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Generalized Low Rank Models Madeleine Udell, Corinne Horn, Reza Zadeh, Stephen Boyd 2016
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Naive Bayes and Sentiment Classification Daniel Jurafsky, James H. Martin 2017
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Brief Introduction to Machine Learning Without Deep Learning Kyunghyun Cho 2018
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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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Phrase Mining from Massive Text and Its Applications Jialu Liu, Jingbo Shang, Jiawei Han 2017
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Abstract Meaning Representation AMR 2017
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Representation Learning on Graphs: Methods and Applications William L. Hamilton, Rex Ying, Jure Leskovec 2017
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High-Dimensional Space Avrim Blum, John Hopcroft, Ravindran Kannan 2015
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Sentiment Analysis Subhabrata Mukherjee 2012
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Learning to Map Sentences to Logical Form Luke Zettlemoyer, Michael Collins 2012
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Sentiment Analysis and Subjectivity Bing Liu 2010
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Word Sense Disambiguation: A Survey Roberto Navigli 2009
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Semantic Role Labeling Martha Palmer, Daniel Gildea, Nianwen Xue 2010
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A Survey on Semantic Parsing Aishwarya Kamath and Rajarshi Das 2018
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Text Data Management and Analysis M. Tamer O zsu 1581
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Representation Learning on Graphs: Methods and Applications William L. Hamilton, Rex Ying, Jure Leskovec 2017
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Singular Value Decomposition (SVD) Avrim Blum, John Hopcroft, Ravindran Kannan 2015
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Semantic Role labeling Daniel Jurafsky 2017
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Opinion mining and sentiment analysis Bo Pang and Lillian Lee 2008
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Word Sense Disambiguation Daniel Jurafsky 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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Survey: Semantic Role Labeling and Dependency Parsing Janardhan Singh 2013
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A Survey of Paraphrasing and Textual Entailment Methods "Ion Androutsopoulos, Prodromos Malakasiotis" 2010
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Deep Learning Reading Group: Skip-Thought Vectors Alex Gude 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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Selectional Restriction Daniel Jurafsky 2017
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Sent2Vec: An unsupervised approach towards learning sentence embeddings Prerna Kashyap 2018
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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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Word Senses and Relations Daniel Jurafsky 2017
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Sentiment Analysis Daniel Jurafsky 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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Deep Learning for Sentiment Analysis: A Survey Lei Zhang, Shuai Wang, Bing Liu 2018
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Lab41 Reading Group: Skip-Thought Vectors Alex Gude 2016
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Minimum Edit Distance Daniel Jurafsky 2017
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Semantic Role Labeling Daniel Jurafsky, James H. Martin 2017
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Computer Age Statistical Inference Bradley Efron, Trevor Hastie 2016
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Computing with Affective Lexicons Daniel Jurafsky 2017
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Title (link) Author Date Votes Error
Sentiment Analyzer Madhusudan Cheelangi 2012
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Word Sense Disambiguation Corpora Dayu Yuan 2017
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English-to-AMR parser Michael Pust, Ulf Hermjakob, Kevin Knight, Daniel Marcu, Jonathan May 2017
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Corpus Query Language Adam Kilgarriff, Pavel Rychly 2017
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JFLAP Susan H. Rodger 2009
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GloVe: Global Vectors for Word Representation Jeffrey Pennington, Richard Socher, Christopher Manning 2014
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Sapienta: Automating the Semantic Annotation of Papers Maria Liakata 2017
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SEMPRE: Semantic Parsing with Execution Percy Liang 2017
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DIStributional SEmantics Composition Toolkit G. Dinu, N. Pham and M. Baroni 2013
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The Rainbow Parser Shashi Narayan, Shay Cohen 2017
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COMPOSES Semantic Vectors Marco Baroni, Georgiana Dinu, German Kruszewski 2014
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Mateplus Author Unknown 2017
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GraphParser Siva Reddy 2017
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amr-eager mdtux89 2017
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ImageNet Li Fei-Fei, Kai Li, Olga Russakovsky, Jonathan Krause, Jia Deng, Alex Berg 2016
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Sentiment Symposium Tutorial: Lexicons Christopher Potts 2011
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Skip-thoughts Kyunghyun Cho 2015
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PYWSD: Python Implementations of Word Sense Disambiguation (WSD) Technologies Liling Tan 2014
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CAMR: A transition-based AMR Parser Chuan Wang, Sameer Pradhan 2017
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Word and text similarity measures Torsten Zesch 2012
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word2vec (Google Implementation) Google 2013
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QA-SRL: Question-Answer Driven Semantic Role Labeling Luheng He, Mike Lewis, Luke Zettlemoyer 2015
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SEMPRE: Semantic Parsing with Execution Percy Liang 2016
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Bringing machine learning and compositional semantics together Percy Liang and Christopher Potts 2014
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ConceptNet 5.5.0 Rob Speer 2016
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Semantic MEDLINE Database Thomas Rindflesch 2017
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The Semantic Vectors Package Dominic Widdows, Kathleen Ferraro 2013
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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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Code for the bilingual lexicon induction experiments Georgiana Dinu, Angelikie Lazaridou, Marco Baroni 2014
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Cornell Semantic Parsing Framework Yoav Artzi 2016
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Scanner Semantic Parser Jianpeng Cheng, Siva Reddy, Vijay Saraswat, Mirella Lapata 2017
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Skip-thoughts Jamie Kiros 2017
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Sentiment Analysis with LSTMs Adit Deshpande 2017
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Deep Semantic Role Labeling Luheng He 2017
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Dependency to Lambda-calculus Conversion Rules Siva Reddy 2016
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Sling - A natural language frame semantics parser Michael Ringgaard, Rahul Gupta, Fernando C. N. Pereira 2017
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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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Twitter US Airline Sentiment Sole, Ben Hamner, Megan Risdal 2016
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SippyCup Bill MacCartney 2016
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EasySRL University of Washington NLP 2015
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Cornell SPF - Cornell Semantic Parsing Framework Yoav Artzi 2013
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BabelNet Roberto Navigli 2015
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Illinois Coreference Package Dan Roth, Eric Bengtson 2015
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SEMAFOR Carnegie Mellon ARK 2015
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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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Naive Bayes SVM (NB-SVM) Daniel Pressel, Grégoire Mesnil 2014
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fastText for Fast Sentiment Analysis Author Unknown 2016
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Textual Entailment with TensorFlow Steven Hewitt 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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The TakeLab Semantic Text Similarity System Bojana Dalbelo Ba?i? 2012
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sentiment-analysis-workshop Pang, B., Lee, L 2018
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Geoquery Database Author Unknown 2017
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BiCVM Karl Moritz Hermann 2014
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Semantic Entity Retrieval Toolkit Christophe Van Gysel, Maarten de Rijke, Marcel Worring 2016
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glove-python maciejkula 2014
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segeval 2.0.11 Chris Fournier 2013
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Sentiment140 Alec Go, Richa Bhayani, Lei Huang 2017
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Fashion-MNIST Han Xiao, Kashif Rasul, Roland Vollgraf 2017
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Cornell AMR Semantic Parser (Artzi et al., EMNLP 2015) CLIC Lab 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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CROWN: the Community-enRiched Open WordNet Gus Hahn-Powell, David Jurgens 2015
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