Computational semantics

Results: 1259



#Item
61From Words to Behaviour via Semantic Networks Armand S. Rotaru () Gabriella Vigliocco ()  Faculty of Brain Sciences, University College London,

From Words to Behaviour via Semantic Networks Armand S. Rotaru () Gabriella Vigliocco () Faculty of Brain Sciences, University College London,

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Source URL: www.stefanfrank.info

Language: English - Date: 2016-05-14 09:09:53
62Vermont Water Supply Division   Drinking Water State Revolving Fund Loan Application Review and Approval Form

Vermont Water Supply Division Drinking Water State Revolving Fund Loan Application Review and Approval Form

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Source URL: www.vce.org

Language: English - Date: 2012-03-16 19:47:17
63Hybrid Ways to Improve Domain Independence  in an ML Dependency Parser Eckhard Bick Institute of Language and Communication University of Southern Denmark 5230 Odense  M, Denmark

Hybrid Ways to Improve Domain Independence  in an ML Dependency Parser Eckhard Bick Institute of Language and Communication University of Southern Denmark 5230 Odense  M, Denmark

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Source URL: visl.sdu.dk

Language: English - Date: 2008-03-12 06:58:49
64universal dependencies: a parsing comparison for swedish Filip Antomonov Uppsala universitet Sverige

universal dependencies: a parsing comparison for swedish Filip Antomonov Uppsala universitet Sverige

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Source URL: www.dialog-21.ru

Language: English - Date: 2016-06-16 07:21:46
65PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation Jordan Boyd-Graber Computer Science Princeton University Princeton, NJ 08540

PUTOP: Turning Predominant Senses into a Topic Model for Word Sense Disambiguation Jordan Boyd-Graber Computer Science Princeton University Princeton, NJ 08540

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Source URL: wordnet.cs.princeton.edu

Language: English - Date: 2007-05-16 20:26:21
66Informatics 1 CG – Tutorial 4 Mirella Lapata, Carina Silberer Week 5 In class we discussed the problem of syntactic category acquisition and how syntactic category learning can be modelled by means of agglomerative hie

Informatics 1 CG – Tutorial 4 Mirella Lapata, Carina Silberer Week 5 In class we discussed the problem of syntactic category acquisition and how syntactic category learning can be modelled by means of agglomerative hie

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

Language: English - Date: 2015-02-05 05:49:34
67Connection Science, 4, Connectionism, Learning and Meaning Morten H. Christiansen∗ Centre for Cognitive Science University of Edinburgh

Connection Science, 4, Connectionism, Learning and Meaning Morten H. Christiansen∗ Centre for Cognitive Science University of Edinburgh

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Source URL: cnl.psych.cornell.edu

Language: English - Date: 2002-07-15 10:47:40
68Josef Ruppenhofer, Julia Maria Struß, Jonathan Sonntag, Stefan Gindl  IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches  Accurate opinion mining requires the exact identification of the so

Josef Ruppenhofer, Julia Maria Struß, Jonathan Sonntag, Stefan Gindl IGGSA-STEPS: Shared Task on Source and Target Extraction from Political Speeches Accurate opinion mining requires the exact identification of the so

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Source URL: www.jlcl.org

Language: English - Date: 2014-08-19 06:17:15
69CorEA: Italian News Corpus with Emotions and Agreement Fabio Celli University of Trento Via Sommarive 5, Trento, Italy

CorEA: Italian News Corpus with Emotions and Agreement Fabio Celli University of Trento Via Sommarive 5, Trento, Italy

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Source URL: www.sensei-conversation.eu

Language: English - Date: 2014-10-28 17:51:09
70The CoNLL 2007 Shared Task on Dependency Parsing ‡ ¨ Joakim Nivre∗† Johan Hall∗ Sandra Kubler Ryan McDonald∗∗ Jens Nilsson∗ Sebastian Riedel†† Deniz Yuret‡‡

The CoNLL 2007 Shared Task on Dependency Parsing ‡ ¨ Joakim Nivre∗† Johan Hall∗ Sandra Kubler Ryan McDonald∗∗ Jens Nilsson∗ Sebastian Riedel†† Deniz Yuret‡‡

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Source URL: cl.indiana.edu

Language: English - Date: 2007-07-03 14:16:17