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ICDM
2008
IEEE
127views Data Mining» more  ICDM 2008»
14 years 1 months ago
Word Sense Discovery for Web Information Retrieval
Word meaning disambiguation has always been an important problem in many computer science tasks, such as information retrieval and extraction. One of the problems, faced in automa...
Tomasz Nykiel, Henryk Rybinski
COLING
2002
13 years 7 months ago
Interactive Paraphrasing Based on Linguistic Annotation
We propose a method "Interactive Paraphrasing" which enables users to interactively paraphrase words in a document by their definitions, making use of syntactic annotati...
Ryuichiro Higashinaka, Katashi Nagao
ACL
2010
13 years 5 months ago
Topic Models for Word Sense Disambiguation and Token-Based Idiom Detection
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...
Linlin Li, Benjamin Roth, Caroline Sporleder
ACL
2004
13 years 8 months ago
Finding Predominant Word Senses in Untagged Text
In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The pro...
Diana McCarthy, Rob Koeling, Julie Weeds, John A. ...
SAC
2005
ACM
14 years 28 days ago
Automatic learning of text-to-concept mappings exploiting WordNet-like lexical networks
A great jump towards the advent of the Semantic Web will take place when a critical mass of web resources is available for use in a semantic way. This goal can be reached by the c...
Dario Bonino, Fulvio Corno, Federico Pescarmona