Paper Info
Title
Combining collocations, lexical and encyclopedic knowledge for metonymy resolution
Abstract
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, generalized using lexical and encyclopedic knowledge to determine the preferred sense of the potentially metonymic word using methods from unsupervised word sense disambiguation. The methodology developed addresses one issue related to metonymy resolution - the influence of local context. The method developed is applied to the metonymy resolution task from SemEval 2007. The results obtained, higher for the countries subtask, on a par for the companies subtask - compared to participating systems - confirm that lexical, encyclopedic and collocation information can be successfully combined for metonymy resolution.
Year
Venue
Keywords
2009
EMNLP
metonymy resolution task,supervised method,encyclopedic knowledge,preferred sense,companies subtask,collocation information,unsupervised word sense disambiguation,countries subtask,metonymy resolution,combining collocation,metonymic word
Field
DocType
Volume
SemEval,Computer science,Feature set,Natural language processing,Artificial intelligence,Metonymy,Word-sense disambiguation,Collocation
Conference
D09-1
Citations 
PageRank 
References 
7
0.54
17
Authors
2
Name
Order
Citations
PageRank
Vivi Nastase152341.30
Michael Strube22142137.32