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Schedule –
Downloads &amp; Links –
Bibliography

Schedule &amp; handouts

Part 1


Presentation slides (PDF, 1.9 MiB) -- handout (PDF, 1.0 MiB) 


	*  Introduction
		*  motivation and brief history of distributional semantics
		*  common DSM architectures
		*  prototypical applications</description>
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        <dc:creator>Stefan Evert</dc:creator>
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        <description>Distributional Semantic Models
Array


Tutorial at the NAACL-HLT 2010 Conference, Los Angeles, 1 June 2010


	*  Course schedule &amp; handouts
	*  Downloads &amp; important links
	*  Suggested readings (bibliography)

Tutorial description


Distributional semantic models (DSM) -- also known as “word space” or “distributional similarity” models -- are based on the assumption that the meaning of a word can (at least to a certain extent) be inferred from its usage, i.e. its distribution in text.  Therefor…</description>
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        <dc:date>2010-04-26T02:15:41+02:00</dc:date>
        <dc:creator>Stefan Evert</dc:creator>
        <title>course:esslli2009:start</title>
        <link>http://wordspace.collocations.de/doku.php/course:esslli2009:start?rev=1272240941&amp;do=diff</link>
        <description>Distributional Semantic Models: Theory and empirical results
Array


Advanced course at ESSLLI 2009, Bordeaux, July 27-31, 2009


	*  Course schedule &amp; handouts
	*  Downloads &amp; important links
	*  Suggested readings (bibliography)

Course description


Distributional semantic models (DSMs) are based on the assumption that the meaning of a word can (at least to a certain extent) be inferred from its usage, i.e. its distribution in text. Therefore, these models dynamically build semantic represent…</description>
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