NLP University

Results: 368



#Item
301Languages of Egypt / Arabic languages / Computational linguistics / Central Semitic languages / Languages of Jordan / Varieties of Arabic / Egyptian Arabic / Text segmentation / Segmentation / Languages of Asia / Languages of Africa / Asia

Word Segmentation of Informal Arabic with Domain Adaptation Will Monroe, Spence Green, and Christopher D. Manning Computer Science Department, Stanford University {wmonroe4,spenceg,manning}@stanford.edu Abstract

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-08-26 01:34:38
302Machine translation / Logical consequence / Computational linguistics / Natural language processing / Bitext word alignment / Knowledge representation / Statistical machine translation / Textual entailment / WordNet / Science / Logic / Linguistics

A Phrase-Based Alignment Model for Natural Language Inference Bill MacCartney, Michel Galley, Christopher D. Manning Natural Language Processing Group, Stanford University {wcmac,mgalley,manning}@stanford.edu Abstract

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Source URL: nlp.stanford.edu

Language: English - Date: 2008-09-15 23:53:40
303Monotonicity of entailment / Entailment / Inference / First-order logic / Formal semantics / Monotonic function / Argument / Semantic reasoner / Logic / Logical consequence / Textual entailment

Natural Logic for Textual Inference Bill MacCartney Stanford University [removed] Abstract

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-05-06 21:18:00
304Textual entailment / Entailment / Monotonicity of entailment / Formal semantics / Inference / Implicature / Argument / Logic / Logical consequence / Science

NATURAL LANGUAGE INFERENCE A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES OF STANFORD UNIVERSITY

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Source URL: nlp.stanford.edu

Language: English - Date: 2009-06-05 13:28:45
305Computational linguistics / Econometrics / Bitext word alignment / Machine translation / Estimation theory / Conditional random field / Semi-supervised learning / Named-entity recognition / Expectation–maximization algorithm / Statistics / Machine learning / Science

Cross-lingual Projected Expectation Regularization for Weakly Supervised Learning Mengqiu Wang and Christopher D. Manning Computer Science Department Stanford University Stanford, CA[removed]USA

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-07-16 02:05:44
306Stanford University / Cyc / Google / World Wide Web / Software / Computing / Natural language processing / Speech recognition

Bill MacCartney Mountain View, CA · [removed] · [removed] Professional Experience 2010-present: Senior Research Scientist, Google, Mountain View, California • Projects in natural language processing (N

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Source URL: nlp.stanford.edu

Language: English - Date: 2013-05-05 17:44:14
307Critical thinking / Philosophy of science / Reading / Semantics / Arguments / Reading comprehension / Question / Analogy / Causality / Linguistics / Science / Ethology

Modeling Biological Processes for Reading Comprehension Jonathan Berant∗, Vivek Srikumar∗, Pei-Chun Chen, Brad Huang and Christopher D. Manning Stanford University, Stanford Abby Vander Linden and Brittany Harding

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-11-07 20:06:22
308Natural language processing / Linguistics / Computing / Software engineering / Compiler construction / Parsing / Bottom-up parsing

A Fast and Accurate Dependency Parser using Neural Networks Danqi Chen Computer Science Department Stanford University [removed]

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-10-17 17:07:10
309Spatial relation / Knowledge representation / Mathematics / Mathematical analysis / Science / Spatial memory / Cognitive science / Scene graph / Perspective

Learning Spatial Knowledge for Text to 3D Scene Generation Angel X. Chang, Manolis Savva and Christopher D. Manning Stanford University {angelx,msavva,manning}@cs.stanford.edu Abstract

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-09-04 23:32:06
310Econometrics / Data analysis / Robust statistics / Linear regression / Logistic regression / Regularization / Supervised learning / Cross-validation / Regression / Statistics / Machine learning / Regression analysis

Robust Logistic Regression using Shift Parameters Julie Tibshirani and Christopher D. Manning Stanford University Stanford, CA 94305, USA {jtibs, manning}@cs.stanford.edu

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Source URL: nlp.stanford.edu

Language: English - Date: 2014-07-05 20:23:13
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