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Language model
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#	Item
271	Inferring User Interests in the Twitter Social Network Parantapa Bhattacharya Muhammad Bilal Zafar Niloy Ganguly Add to Reading List Source URL: www.mpi-sws.org Language: English - Date: 2014-08-04 05:01:37 Social networking services Statistical natural language processing Microblogging Real-time web Text messaging Twitter Hashtag Social media Latent Dirichlet allocation Facebook Topic model Barack Obama on social media
272	arXiv:1506.06726v1 [cs.CL] 22 JunSkip-Thought Vectors Ryan Kiros 1 , Yukun Zhu 1 , Ruslan Salakhutdinov 1,2 , Richard S. Zemel 1,2 Antonio Torralba 3 , Raquel Urtasun 1 , Sanja Fidler 1 Add to Reading List Source URL: arxiv.org Language: English - Date: 2015-06-22 20:32:14 Artificial neural networks Computational linguistics Machine learning Computational neuroscience Semantics Deep learning Semantic similarity Word embedding Word2vec Feature learning Language model Recurrent neural network
273	Communicative biases shape structures of newly acquired languages Maryia Fedzechkina (), T. Florian Jaeger () Department of Brain and Cognitive Sciences, University of Roc Add to Reading List Source URL: mfedzech.github.io Language: English - Date: 2016-08-13 19:34:23 Language acquisition Fusional languages Languages of Namibia Languages of Palau Psycholinguistics Word order Subjectobjectverb Language Competition model German language Syntax English language
274	THE NATURAL LANGUAGE OF PLAYLISTS Brian McFee Computer Science and Engineering University of California, San Diego ABSTRACT Add to Reading List Source URL: eceweb.ucsd.edu Language: English - Date: 2015-07-31 19:00:25 Markov models Natural language processing Estimation theory Broadcasting Playlist BBC Playlister Randomized algorithm Maximum likelihood estimation K-means clustering Language model Probability distribution Bigram
275	The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284. Add to Reading List Source URL: www.inf.ed.ac.uk Language: English - Date: 2016-02-08 08:36:36 Natural language processing Computational linguistics Semantics Vectors Machine learning Latent semantic analysis Semantic similarity Distributional semantics Word embedding Vector space model Document-term matrix Euclidean vector
276	J2008 Executive Overview Recommended Organization of Vehicle Service Information J2008 EXECUTIVE Add to Reading List Source URL: store.sae.org Language: English - Date: 2000-10-18 17:11:53 Markup languages Technical communication HTML Standard Generalized Markup Language Computer file formats Document type definition Document type declaration Data model
277	POS Tagging for German: How Important is the Right Context? ¨ Steliana Ivanova, Sandra Kubler Umbria Inc., Boulder, CO, Indiana University Bloomington, IN, USA , Abstract Add to Reading List Source URL: cl.indiana.edu Language: English - Date: 2008-07-22 10:48:06 Markov models Computational linguistics Corpus linguistics Natural language processing Part-of-speech tagging Word-sense disambiguation Tagger Part of speech Tag Hidden Markov model Brill tagger Trigram tagger
278	Journal of Memory and Language 45, 616–doi:jmla, available online at http://www.academicpress.com on Prime Validity Affects Masked Repetition Priming: Evidence for an Episodic Resource Acco Add to Reading List Source URL: web.uvic.ca Language: English - Date: 2003-07-09 02:27:54 Memory Cognition Psycholinguistics Perception Priming Cognitive biases Lexical decision task Logogen model Structural priming Response priming Transposed letter effect
279	ON TRAINING THE RECURRENT NEURAL NETWORK ENCODER-DECODER FOR LARGE VOCABULARY END-TO-END SPEECH RECOGNITION Liang Lu1 , Xingxing Zhang2 , and Steve Renals1 1 2 Add to Reading List Source URL: homepages.inf.ed.ac.uk Language: English - Date: 2016-01-21 10:21:18 Artificial neural networks Computational neuroscience Computational linguistics Artificial intelligence Computational statistics Recurrent neural network Speech recognition Neural machine translation Long short-term memory Language model Convolutional neural network Vanishing gradient problem
280	Within-Document Term-Based Index Pruning with Statistical Hypothesis Testing Sree Lekha Thota and Ben Carterette Department of Computer and Information Sciences University of Delaware, Newark, DE, USA , c Add to Reading List Source URL: ir.cis.udel.edu Language: English - Date: 2011-08-13 09:15:29 Hypothesis testing Design of experiments Natural language processing Statistical inference Statistical natural language processing Statistical hypothesis testing Language model Tfidf Statistics N-gram Statistical power Pruning

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