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» Improving Semantic Role Labeling with Word Sense
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SDM
2009
SIAM
105views Data Mining» more  SDM 2009»
15 years 9 months ago
Exploiting Semantic Constraints for Estimating Supersenses with CRFs.
The annotation of words and phrases by ontology concepts is extremely helpful for semantic interpretation. However many ontologies, e.g. WordNet, are too fine-grained and even hu...
Gerhard Paaß, Frank Reichartz
ACL
2009
14 years 9 months ago
Generalizing over Lexical Features: Selectional Preferences for Semantic Role Classification
This paper explores methods to alleviate the effect of lexical sparseness in the classification of verbal arguments. We show how automatically generated selectional preferences ar...
Beñat Zapirain, Eneko Agirre, Lluís ...
ICTAI
2009
IEEE
15 years 6 months ago
Large-Scale Dependency Knowledge Acquisition and its Extrinsic Evaluation Through Word Sense Disambiguation
Knowledge plays a central role in intelligent systems. Manual knowledge acquisition is very inefficient and expensive. In this paper, we present (1) an automatic method to acquire...
Ping Chen, Wei Ding 0003, Chris Bowes, David Brown
COLING
2008
15 years 1 months ago
Acquiring Sense Tagged Examples using Relevance Feedback
Supervised approaches to Word Sense Disambiguation (WSD) have been shown to outperform other approaches but are hampered by reliance on labeled training examples (the data acquisi...
Mark Stevenson, Yikun Guo, Robert J. Gaizauskas
AIME
2001
Springer
15 years 4 months ago
Using Part-of-Speech and Word-Sense Disambiguation for Boosting String-Edit Distance Spelling Correction
Abstract. We report on the design of a system for correcting spelling errors resulting in non-existent words. The system aims at improving edition of medical reports. Unlike tradit...
Patrick Ruch, Robert H. Baud, Antoine Geissbü...