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ACL
2006
13 years 11 months ago
Semi-Supervised Training for Statistical Word Alignment
We introduce a semi-supervised approach to training for statistical machine translation that alternates the traditional Expectation Maximization step that is applied on a large tr...
Alexander Fraser, Daniel Marcu
CLEF
2009
Springer
13 years 11 months ago
Using Semantic Relatedness and Word Sense Disambiguation for (CL)IR
In this paper we report the experiments for the CLEF 2009 Robust-WSD task, both for the monolingual (English) and the bilingual (Spanish to English) subtasks. Our main experimenta...
Eneko Agirre, Arantxa Otegi, Hugo Zaragoza
TAL
2004
Springer
14 years 3 months ago
Smoothing and Word Sense Disambiguation
This paper presents an algorithm to apply the smoothing techniques described in [1] to three different Machine Learning (ML) methods for Word Sense Disambiguation (WSD). The method...
Eneko Agirre, David Martínez
BMCBI
2010
186views more  BMCBI 2010»
13 years 10 months ago
Knowledge-based biomedical word sense disambiguation: comparison of approaches
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
Antonio Jimeno Yepes, Alan R. Aronson
TREC
2000
13 years 11 months ago
TREC-9 CLIR at CUHK: Disambiguation by Similarity Values Between Adjacent Words
We investigated the dictionary-based query translation method combining the translation disambiguation process using statistic cooccurrence information trained from the provided c...
Honglan Jin, Kam-Fai Wong