Distributional semantics

Results: 84



#Item
21Finding Word Substitutions Using a Distributional Similarity Baseline and Immediate Context Overlap Aurelie Herbelot University of Cambridge Computer Laboratory J.J. Thompson Avenue

Finding Word Substitutions Using a Distributional Similarity Baseline and Immediate Context Overlap Aurelie Herbelot University of Cambridge Computer Laboratory J.J. Thompson Avenue

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Source URL: www.cl.cam.ac.uk

Language: English - Date: 2009-01-29 08:57:58
22Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora 
Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora

Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora

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Source URL: pars.ie

Language: English - Date: 2015-09-10 14:48:18
23Probabilistic Soft Logic for Semantic Textual Similarity Islam Beltagy§ Katrin Erk† Raymond Mooney§ § Department of Computer Science

Probabilistic Soft Logic for Semantic Textual Similarity Islam Beltagy§ Katrin Erk† Raymond Mooney§ § Department of Computer Science

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Source URL: www.cs.utexas.edu

Language: English - Date: 2014-07-01 12:33:24
24Mark Andrews mark.andrews @ ntu.ac.uk Education 2003

Mark Andrews mark.andrews @ ntu.ac.uk Education 2003

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Source URL: www.mjandrews.net

Language: English - Date: 2014-12-16 12:40:25
25The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284.

The Vector Space Model of Word Meaning Informatics 1 CG: Lecture 13 Reading: An Introduction to Latent Semantic Analysis. Discourse Processes, 25, 259–284.

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

Language: English - Date: 2016-02-08 08:36:36
26Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change William L. Hamilton, Jure Leskovec, Dan Jurafsky Computer Science Department, Stanford University, Stanford CA, 94305 wleif,jure,

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change William L. Hamilton, Jure Leskovec, Dan Jurafsky Computer Science Department, Stanford University, Stanford CA, 94305 wleif,jure,

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Source URL: web.stanford.edu

Language: English - Date: 2016-06-08 15:36:16
27PeARS: a Peer-to-peer Agent for Reciprocated Search Aurélie Herbelot University of Trento, Centre for Mind/Brain Sciences Palazzo Fedrigotti, Corso BettiniRovereto, Italy

PeARS: a Peer-to-peer Agent for Reciprocated Search Aurélie Herbelot University of Trento, Centre for Mind/Brain Sciences Palazzo Fedrigotti, Corso BettiniRovereto, Italy

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Source URL: www2016.net

Language: English - Date: 2016-04-10 09:02:58
28What is in a text, what isn’t, and what this has to do with lexical semantics Aurelie Herbelot Universit¨at Potsdam

What is in a text, what isn’t, and what this has to do with lexical semantics Aurelie Herbelot Universit¨at Potsdam

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Source URL: wing.comp.nus.edu.sg

Language: English
29C:/Users/Stefan/Onderzoek/Papers/Journals/TopiCS (Mark)/master.dvi

C:/Users/Stefan/Onderzoek/Papers/Journals/TopiCS (Mark)/master.dvi

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Source URL: www.stefanfrank.info

Language: English - Date: 2012-10-29 17:49:21
30Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora 
Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora

Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora Investigating the Use of Distributional Semantic Models for Co-Hyponym Identification in Special Corpora

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Source URL: pars.ie

Language: English - Date: 2015-09-10 14:29:59