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Natural language understanding
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#	Item
21	Understanding Sentences Informatics 1 CG: Lecture 14 Mirella Lapata School of Informatics University of Edinburgh Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-11 06:50:27 Linguistics Cognitive science Grammar Syntax Compiler construction Natural language processing Psycholinguistics Parsing Sentence processing Phrase structure rules Phrase structure grammar Phrase
22	Do Multi-Sense Embeddings Improve Natural Language Understanding? Dan Jurafsky Computer Science Department Stanford University Stanford, CA 94305, USA Add to Reading List Source URL: nlp.stanford.edu Language: English - Date: 2015-10-31 15:44:36 Computational linguistics Semantics Natural language processing Lexical semantics Word-sense disambiguation Word embedding Word2vec Language model Semantic similarity SemEval Embedding Artificial neural network
23	Large-Scale Paraphrasing for Natural Language Understanding Chris Callison-Burch2,3 Benjamin Van Durme1,2 Matt Post2 Juri Ganitkevitch1 Jonathan Weese1 Ellie Pavlick3 1 Add to Reading List Source URL: www.macsim.us Language: English - Date: 2013-04-13 07:59:21 Computational linguistics Language acquisition Presbyterian paraphrases Presbyterianism Paraphrase Text corpus Parsing Parallel text Entailment
24	Linguistic processing for Spoken Language Understanding Fr´ed´eric B´echet Aix Marseille Universit´ e - Laboratoire d’Informatique Fondamentale - LIF-CNRS Add to Reading List Source URL: pageperso.lif.univ-mrs.fr Language: English - Date: 2015-02-06 07:55:46 Cognitive science Grenoble Speech recognition Linguistics Parsing Natural language understanding Xerox
25	Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis Add to Reading List Source URL: dept.stat.lsa.umich.edu Language: English - Date: 2014-01-10 12:37:27 Statistics Probability Statistical natural language processing Probability distributions Latent Dirichlet allocation Topic model Mixture model Dirichlet distribution Normal distribution Gibbs sampling Statistical inference
26	Artificial Intelligence–1258 www.elsevier.com/locate/artint Terry Winograd co Add to Reading List Source URL: hci.stanford.edu Language: English - Date: 2006-11-27 18:22:26 Humancomputer interaction Science and technology Cognitive science Science Artificial intelligence Computational neuroscience Terry Winograd Philosophy of artificial intelligence Natural language understanding Intelligence Outline of humancomputer interaction Guy Andr Boy
27	Empath: Understanding Topic Signals in Large-Scale Text Ethan Fast, Binbin Chen, Michael S. Bernstein Stanford University {ethan.fast, msb}@cs.stanford.edu, Figure 1. Empath analyzes text across 200 Add to Reading List Source URL: hci.stanford.edu Language: English - Date: 2016-02-21 14:57:53 Natural language processing Empath Sentiment analysis Category of being Deep learning Emotion
28	Is the Stanford Dependency Representation Semantic? Rachel Rudinger1 and Benjamin Van Durme1,2 Center for Language and Speech Processing1 Human Language Technology Center of Excellence2 Johns Hopkins University rudinger@ Add to Reading List Source URL: www.aclweb.org Language: English - Date: 2014-06-16 05:53:20 Linguistics Grammar Syntax Semantics Natural language processing Dependency grammar Natural language parsing Argument Parsing Predicate Natural language understanding
29	Lifted Tree-Reweighted Variational Inference∗ Hung Hai Bui Natural Language Understanding Lab Nuance Communications Sunnyvale, CA, USA Add to Reading List Source URL: cs.nyu.edu Language: English - Date: 2014-09-15 18:18:13
30	IORelator: A Graphical User Interface to Enable Rapid Semantic Annotation for Data-Driven Natural Language Understanding David DeVault and Susan Robinson and David Traum USC Institute for Creative TechnologiesFiji Add to Reading List Source URL: people.ict.usc.edu Language: English - Date: 2015-08-25 04:47:57

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