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» Boosting Applied to Word Sense Disambiguation
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COLING
2008
14 years 11 months ago
Acquiring Sense Tagged Examples using Relevance Feedback
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas
FLAIRS
2006
14 years 11 months ago
Context-based Term Disambiguation in Biomedical Literature
The huge volumes of unstructured texts available online drives the increasing need for automated techniques to analyze and extract knowledge from these repositories of information...
Ping Chen, Hisham Al-Mubaid
SAMT
2007
Springer
133views Multimedia» more  SAMT 2007»
15 years 3 months ago
Semantic Video Classification Based on Subtitles and Domain Terminologies
In this paper we explore an unsupervised approach to classify video content by analyzing the corresponding subtitles. The proposed method is based on the WordNet lexical database a...
Polyxeni Katsiouli, Vassileios Tsetsos, Stathes Ha...
COLING
2010
14 years 4 months ago
Towards an optimal weighting of context words based on distance
Word Sense Disambiguation (WSD) often relies on a context model or vector constructed from the words that co-occur with the target word within the same text windows. In most cases...
Bernard Brosseau-Villeneuve, Jian-Yun Nie, Noriko ...
CORR
1998
Springer
96views Education» more  CORR 1998»
14 years 9 months ago
Similarity-Based Models of Word Cooccurrence Probabilities
Abstract. In many applications of natural language processing (NLP) it is necessary to determine the likelihood of a given word combination. For example, a speech recognizer may ne...
Ido Dagan, Lillian Lee, Fernando C. N. Pereira