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ACL
1997
14 years 10 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
14 years 7 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
15 years 2 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
14 years 11 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
14 years 10 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