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EMNLP
2008
13 years 8 months ago
Word Sense Disambiguation Using OntoNotes: An Empirical Study
The accuracy of current word sense disambiguation (WSD) systems is affected by the fine-grained sense inventory of WordNet as well as a lack of training examples. Using the WSD ex...
Zhi Zhong, Hwee Tou Ng, Yee Seng Chan
LREC
2010
246views Education» more  LREC 2010»
13 years 8 months ago
Q-WordNet: Extracting Polarity from WordNet Senses
This paper presents Q-WordNet, a lexical resource consisting of WordNet senses automatically annotated by positive and negative polarity. Polarity classification amounts to decide...
Rodrigo Agerri, Ana García-Serrano
TAL
2004
Springer
14 years 23 days 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
ACL
2007
13 years 8 months ago
Word Sense Disambiguation Improves Statistical Machine Translation
Recent research presents conflicting evidence on whether word sense disambiguation (WSD) systems can help to improve the performance of statistical machine translation (MT) syste...
Yee Seng Chan, Hwee Tou Ng, David Chiang
AAAI
2006
13 years 8 months ago
An End-to-End Supervised Target-Word Sense Disambiguation System
We present an extensible supervised Target-Word Sense Disambiguation system that leverages upon GATE (General Architecture for Text Engineering), NSP (Ngram Statistics Package) an...
Mahesh Joshi, Serguei V. S. Pakhomov, Ted Pedersen...