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» Learning Probabilistic Models of Word Sense Disambiguation
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ACL
1994
14 years 5 days 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 6 days 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
13 years 8 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
CICLING
2008
Springer
14 years 25 days 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