NLP University

Results: 368



#Item
171Syntax / Semantic similarity / Parsing / Semantics / Parse tree / Branching / Linguistics / Grammar / Computational linguistics

Dynamic Pooling and Unfolding Recursive Autoencoders for Paraphrase Detection Richard Socher, Eric H. Huang, Jeffrey Pennington∗ , Andrew Y. Ng, Christopher D. Manning Computer Science Department, Stanford University,

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Source URL: nlp.stanford.edu

Language: English - Date: 2011-10-31 01:41:47
172Linear algebra / Natural language processing / Vector calculus / N-gram / Euclidean vector / Support vector machine / Vector space / Algebra / Mathematics / Abstract algebra

Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions Richard Socher Jeffrey Pennington∗ Eric H. Huang Andrew Y. Ng Christopher D. Manning Computer Science Department, Stanford University, Stanf

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Source URL: nlp.stanford.edu

Language: English - Date: 2011-06-22 03:47:41
173Estimation theory / Expectation–maximization algorithm / Missing data / Markov models / Lateen / Word-sense disambiguation / Natural language processing / EM / Part-of-speech tagging / Linguistics / Statistics / Computational linguistics

Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc.

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Source URL: nlp.stanford.edu

Language: English - Date: 2011-07-14 22:39:13
174Punctuation / Corpus linguistics / Semantics / Parsing / Treebank / Part-of-speech tagging / Parse tree / Word-sense disambiguation / Text segmentation / Linguistics / Natural language processing / Computational linguistics

Punctuation: Making a Point in Unsupervised Dependency Parsing Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc.

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Source URL: nlp.stanford.edu

Language: English - Date: 2011-05-26 02:13:18
175Abstract algebra / Vectors / Vector calculus / Euclidean vector / Sentiment analysis / Vector / Tensor / Matrix / Algebra / Mathematics / Linear algebra

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher, Alex Perelygin, Jean Y. Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng and Christopher Potts Stanford University, Stan

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Source URL: nlp.stanford.edu

Language: English - Date: 2013-10-23 03:01:02
176Style / Feature / Flirt / Attitude / Human behavior / Behavior / Ethology / Linguistics / Flirting / Interlocutor

It’s Not You, it’s Me: Detecting Flirting and its Misperception in Speed-Dates Rajesh Ranganath Computer Science Department Stanford University

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Source URL: nlp.stanford.edu

Language: English - Date: 2009-06-29 17:41:11
177Phonology / Computational linguistics / Speech recognition / Automatic identification and data capture / Phoneme / Allophone / Spanish language / Voice / Vowel / Linguistics / Phonetics / Languages of North America

Limitations of MLLR Adaptation with Spanish-Accented English: An Error Analysis Constance Clarke1,2 and Dan Jurafsky2 1 Department of Psychology, University at Buffalo SUNY, Buffalo, NY, USA

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Source URL: nlp.stanford.edu

Language: English - Date: 2011-11-11 22:19:17
178Latent Dirichlet allocation / Science / Relevance / Concentration parameter / Dynamic topic model / Statistical natural language processing / Statistics / Topic model

Active Learning with Constrained Topic Model Yi Yang Northwestern University Shimei Pan

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-06-21 18:12:21
179Normal distribution / Central limit theorem / Logistic regression / Cross-validation / Statistics / Regression analysis / Econometrics

Fast “dropout” training for logistic regression Christopher D. Manning Department of Computer Science Stanford University Stanford, CA 94305

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Source URL: nlp.stanford.edu

Language: English - Date: 2012-10-12 17:13:41
180Statistical classification / Neural networks / Dimension reduction / Feature selection / Model selection / Perceptron / Feature scaling / BLEU / Algorithm / Statistics / Machine learning / Artificial intelligence

Fast and Adaptive Online Training of Feature-Rich Translation Models Spence Green, Sida Wang, Daniel Cer, and Christopher D. Manning Computer Science Department, Stanford University {spenceg,sidaw,danielcer,manning}@stan

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Source URL: nlp.stanford.edu

Language: English - Date: 2013-08-07 08:12:24
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