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NAACL
2010
13 years 5 months ago
Extracting Glosses to Disambiguate Word Senses
Like most natural language disambiguation tasks, word sense disambiguation (WSD) requires world knowledge for accurate predictions. Several proxies for this knowledge have been in...
Weisi Duan, Alexander Yates
AAAI
1998
13 years 9 months ago
Knowledge Lean Word-Sense Disambiguation
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
Ted Pedersen, Rebecca F. Bruce
COLING
2010
13 years 2 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
CORR
2000
Springer
132views Education» more  CORR 2000»
13 years 7 months ago
A Comparison between Supervised Learning Algorithms for Word Sense Disambiguation
This paper describes a set of comparative experiments, including cross{corpus evaluation, between ve alternative algorithms for supervised Word Sense Disambiguation (WSD), namely ...
Gerard Escudero, Lluís Màrquez, Germ...
LREC
2010
198views Education» more  LREC 2010»
13 years 9 months ago
eXtended WordFrameNet
This paper presents a novel automatic approach to partially integrate FrameNet and WordNet. In that way we expect to extend FrameNet coverage, to enrich WordNet with frame semanti...
Egoitz Laparra, German Rigau