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        <description>Lexical Semantics Workshop (ESSLLI 2008)

Start page --
Background --
Programme and proceedings --
Shared tasks --
Call for papers

Background and motivation

[Motivational Poster]

Corpus-based distributional models (such as LSA or HAL)
have been claimed to capture interesting aspects of word meaning
and provide an explanation for the rapid acquisition of semantic
knowledge by human language learners. 
However, although these models have been proposed as
plausible simulations of human semantic …</description>
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        <description>Lexical Semantics Workshop (ESSLLI 2008)

Start page --
Background --
Programme and proceedings --
Shared tasks --
Call for papers

Call for papers

We welcome papers reporting results of experimenting
with word space models on one or more workshop tasks, as well as
 comparing different models on the same task(s) (authors are asked to carry out their own evaluation, using, if possible, the tools provided on the Website).</description>
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        <description>Lexical Semantics Workshop (ESSLLI 2008)

Start page --
Background --
Programme and proceedings --
Shared tasks --
Call for papers

Proceedings

Bridging the gap between semantic theory and computational simulations

Workshop at ESSLLI 2008, Hamburg, August 4-8 2008

[Workshop proceedings] (PDF, 1.3 MB)

Workshop programme

Click titles below to download presentation slides (if available).</description>
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        <description>Lexical Semantics Workshop (ESSLLI 2008)

Bridging the gap between semantic theory and computational simulations

Workshop at ESSLLI 2008, Hamburg, August 4-8 2008

	*  Background and motivation
	*  Workshop programme and proceedings
	*  Shared tasks
	*  Call for papers

Invited speakers

	*  Generating Semantic Representations From Simple Word Co-occurrence Statistics</description>
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        <description>Lexical Semantics Workshop (ESSLLI 2008)

Start page --
Background --
Programme and proceedings --
Shared tasks --
Call for papers

Shared tasks and data sets

In order to reach a better understanding of the possibilities and limitations
of distributional models of word meaning, we envisaged a number of tasks that
focus on linguistic and cognitive challenges rather than application engineering.</description>
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