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COLING
2008
13 years 6 months ago
A Supervised Algorithm for Verb Disambiguation into VerbNet Classes
VerbNet (VN) is a major large-scale English verb lexicon. Mapping verb instances to their VN classes has been proven useful for several NLP tasks. However, verbs are polysemous wi...
Omri Abend, Roi Reichart, Ari Rappoport
EMNLP
2009
13 years 2 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
NLE
2010
127views more  NLE 2010»
13 years 3 months ago
Class-based approach to disambiguating Levin verbs
Lapata and Brew (2004) (hereafter LB04) obtain from untagged texts a statistical prior model that is able to generate class preferences for ambiguous Levin (1993) verbs (hereafter...
Jianguo Li, Chris Brew
COLING
2002
13 years 4 months ago
Combining Unsupervised and Supervised Methods for PP Attachment Disambiguation
Statistical methods for PP attachment fall into two classes according to the training material used: first, unsupervised methods trained on raw text corpora and second, supervised...
Martin Volk
CORR
1998
Springer
87views Education» more  CORR 1998»
13 years 4 months ago
Word Clustering and Disambiguation Based on Co-occurrence Data
We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disa...
Hang Li, Naoki Abe