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» A Maximum Entropy-based Word Sense Disambiguation System
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ACL
2007
13 years 10 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
COLING
2010
13 years 3 months ago
Jointly Modeling WSD and SRL with Markov Logic
Semantic role labeling (SRL) and word sense disambiguation (WSD) are two fundamental tasks in natural language processing to find a sentence-level semantic representation. To date...
Wanxiang Che, Ting Liu
ACL
2006
13 years 10 months ago
Estimating Class Priors in Domain Adaptation for Word Sense Disambiguation
Instances of a word drawn from different domains may have different sense priors (the proportions of the different senses of a word). This in turn affects the accuracy of word sen...
Yee Seng Chan, Hwee Tou Ng
TSD
2001
Springer
14 years 1 months ago
Knowledge Sources for Word Sense Disambiguation
Two kinds of systems have been defined during the long history of WSD: principled systems that define which knowledge types are useful for WSD, and robust systems that use the info...
Eneko Agirre, David Martínez
EMNLP
2010
13 years 6 months ago
Word Sense Induction Disambiguation Using Hierarchical Random Graphs
Graph-based methods have gained attention in many areas of Natural Language Processing (NLP) including Word Sense Disambiguation (WSD), text summarization, keyword extraction and ...
Ioannis P. Klapaftis, Suresh Manandhar