Word sense

Results: 1727



#Item
531Linguistic morphology / Machine learning / Natural language processing / Morphology / Supervised learning / Word-sense disambiguation / Language / Part-of-speech tagging / Grammatical gender / Linguistics / Computational linguistics / Grammar

Universal Morphological Analysis using Structured Nearest Neighbor Prediction Young-Bum Kim João V. Graça Benjamin Snyder University of Wisconsin-Madison

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Source URL: pages.cs.wisc.edu

Language: English - Date: 2013-06-23 22:32:31
532Medicine / Homeshare / Education / Developmental disability / Shared lives / Supportive housing / Sense / Heritage Care / Disability / Health / Social work

Microsoft Word - VP HousingToolkit FINALVERSIONdoc

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Source URL: www.thinklocalactpersonal.org.uk

Language: English - Date: 2011-03-21 06:14:21
533

Microsoft Word - Uitwerking project Sense of Place Joop Mulder

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Source URL: www.landschapsbeheerfriesland.nl

Language: Dutch - Date: 2014-10-06 02:38:06
    534Philosophy of language / Coreference / Anaphora / Episodic memory / Word-sense disambiguation / Hypothesis / Linguistics / Science / Semantics

    Microsoft PowerPoint - Semantic Interpretation.ppt

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    Source URL: www.cs.northwestern.edu

    Language: English - Date: 2005-05-15 00:16:53
    535Natural language processing / Semantics / Information retrieval / Corpus linguistics / Semantic similarity / Vector space model / N-gram / Speech recognition / Word-sense disambiguation / Linguistics / Science / Computational linguistics

    Improving Word Representations via Global Context and Multiple Word Prototypes Eric H. Huang, Richard Socher∗ , Christopher D. Manning, Andrew Y. Ng Computer Science Department, Stanford University, Stanford, CA 94305,

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    Source URL: nlp.stanford.edu

    Language: English - Date: 2012-05-13 00:32:42
    536Information science / Word-sense disambiguation / Speech recognition / Embedding / Natural language processing / Language model / Vocabulary / Statistical machine translation / Structure / Linguistics / Computational linguistics / Science

    TASK SPECIFIC CONTINUOUS WORD REPRESENTATIONS FOR MONO AND MULTI-LINGUAL SPOKEN LANGUAGE UNDERSTANDING Tasos Anastasakos†, Young-Bum Kim‡, Anoop Deoras† †Microsoft Corporation, Sunnyvale, CA ‡Computer Science D

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    Source URL: pages.cs.wisc.edu

    Language: English - Date: 2014-05-20 00:46:05
    537Natural language processing / Topic model / Message Understanding Conference / Word-sense disambiguation / Computational semantics / N-gram / Analysis / Information extraction / Association for Computational Linguistics / Computational linguistics / Science / Linguistics

    Towards a Computational History of the ACL: 1980–2008 Ashton Anderson Dan McFarland Dan Jurafsky Stanford University Stanford University

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    Source URL: nlp.stanford.edu

    Language: English - Date: 2012-05-13 12:10:37
    538Corpus linguistics / Natural language processing / Speech recognition / Machine learning / Word-sense disambiguation / Part-of-speech tagging / Parsing / N-gram / Bitext word alignment / Linguistics / Computational linguistics / Science

    Unsupervised Dependency Parsing without Gold Part-of-Speech Tags Valentin I. Spitkovsky†∗ Hiyan Alshawi∗

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    Source URL: nlp.stanford.edu

    Language: English - Date: 2011-07-21 17:25:44
    539Natural language processing / Corpus linguistics / Compiler construction / Parsing / Speech recognition / Treebank / Part-of-speech tagging / Word-sense disambiguation / Search engine indexing / Linguistics / Science / Computational linguistics

    Profiting from Mark-Up: Hyper-Text Annotations for Guided Parsing Valentin I. Spitkovsky Computer Science Department Stanford University and Google Inc.

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    Source URL: nlp.stanford.edu

    Language: English - Date: 2010-05-14 19:05:23
    540Corpus linguistics / Natural language processing / Speech recognition / Markov models / Word-sense disambiguation / Text corpus / N-gram / Part-of-speech tagging / Language model / Linguistics / Computational linguistics / Science

    Web-based Models for Natural Language Processing MIRELLA LAPATA and FRANK KELLER University of Edinburgh Previous work demonstrated that web counts can be used to approximate bigram counts, thus suggesting that web-based

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    Source URL: homepages.inf.ed.ac.uk

    Language: English - Date: 2006-01-25 12:04:52
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