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» Cross-Cutting Models of Lexical Semantics
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ACL
2003
15 years 3 months ago
Constructing Semantic Space Models from Parsed Corpora
Traditional vector-based models use word co-occurrence counts from large corpora to represent lexical meaning. In this paper we present a novel approach for constructing semantic ...
Sebastian Padó, Mirella Lapata
COLING
2002
15 years 1 months ago
A Graph Model for Unsupervised Lexical Acquisition
This paper presents an unsupervised method for assembling semantic knowledge from a part-ofspeech tagged corpus using graph algorithms. The graph model is built by linking pairs o...
Dominic Widdows, Beate Dorow
ACL
2010
14 years 12 months ago
Bootstrapping Semantic Analyzers from Non-Contradictory Texts
We argue that groups of unannotated texts with overlapping and non-contradictory semantics represent a valuable source of information for learning semantic representations. A simp...
Ivan Titov, Mikhail Kozhevnikov
111
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NAACL
2010
14 years 11 months ago
Coreference Resolution in a Modular, Entity-Centered Model
Coreference resolution is governed by syntactic, semantic, and discourse constraints. We present a generative, model-based approach in which each of these factors is modularly enc...
Aria Haghighi, Dan Klein
NAACL
2010
14 years 11 months ago
Multi-Prototype Vector-Space Models of Word Meaning
Current vector-space models of lexical semantics create a single "prototype" vector to represent the meaning of a word. However, due to lexical ambiguity, encoding word ...
Joseph Reisinger, Raymond J. Mooney