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ACL
1997
13 years 6 months ago
Combining Unsupervised Lexical Knowledge Methods for Word Sense Disambiguation
This paper presents a method to combine a set of unsupervised algorithms that can accurately disambiguate word senses in a large, completely untagged corpus. Although most of the ...
German Rigau, Jordi Atserias, Eneko Agirre
EMNLP
2009
13 years 2 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
CICLING
2003
Springer
13 years 9 months ago
Sentence Co-occurrences as Small-world Graphs: A Solution to Automatic Lexical Disambiguation
This paper presents a graph-theoretical approach to lexical disambiguation on word co-occurrences. Producing a dictionary similar to WordNet, this method is the counterpart to word...
Stefan Bordag
EMNLP
2004
13 years 6 months ago
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
This paper explores the large-scale acquisition of sense-tagged examples for Word Sense Disambiguation (WSD). We have applied the "WordNet monosemous relatives" method t...
Eneko Agirre, David Martínez
ACL
1998
13 years 6 months ago
Word Sense Disambiguation using Optimised Combinations of Knowledge Sources
Word sense disambiguation algorithms, with few exceptions, have made use of only one lexical knowledge source. We describe a system which t)erforms word sense disambiguation on al...
Yorick Wilks, Mark Stevenson