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» Learning Probabilistic Models of Word Sense Disambiguation
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ACL
1994
14 years 11 months ago
Word-Sense Disambiguation Using Decomposable Models
Most probabilistic classi ers used for word-sense disambiguationhave either been based on onlyone contextual feature or have used a model that is simply assumed to characterize th...
Rebecca F. Bruce, Janyce Wiebe
ANLP
1997
80views more  ANLP 1997»
14 years 11 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe
EMNLP
2009
14 years 7 months ago
Joint Learning of Preposition Senses and Semantic Roles of Prepositional Phrases
The sense of a preposition is related to the semantics of its dominating prepositional phrase. Knowing the sense of a preposition could help to correctly classify the semantic rol...
Daniel Dahlmeier, Hwee Tou Ng, Tanja Schultz
ACL
2007
14 years 11 months ago
Learning Expressive Models for Word Sense Disambiguation
Lucia Specia, Mark Stevenson, Maria das Graç...
CICLING
2008
Springer
14 years 11 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor