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ACL
2003
13 years 9 months ago
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
Malvina Nissim, Katja Markert
EACL
1993
ACL Anthology
13 years 9 months ago
An Endogeneous Corpus-Based Method for Structural Noun Phrase Disambiguation
In this paper, we describe a method for structural noun phrase disambiguation which mainly relies on the examination of the text corpus under analysis and doesn't need to int...
Didier Bourigault
COLING
2010
13 years 2 months ago
Bringing Active Learning to Life
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...
Ines Rehbein, Josef Ruppenhofer, Alexis Palmer
LREC
2010
153views Education» more  LREC 2010»
13 years 9 months ago
Homographic Ideogram Understanding Using Contextual Dynamic Network
Conventional methods for disambiguation problems have been using statistical methods with co-occurrence of words in their contexts. It seems that human-beings assign appropriate w...
Jun Okamoto, Shun Ishizaki
EMNLP
2009
13 years 5 months ago
Combining Collocations, Lexical and Encyclopedic Knowledge for Metonymy Resolution
This paper presents a supervised method for resolving metonymies. We enhance a commonly used feature set with features extracted based on collocation information from corpora, gen...
Vivi Nastase, Michael Strube