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» Automatic Word Sense Discrimination
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ACL
2003
13 years 9 months ago
Syntactic Features and Word Similarity for Supervised Metonymy Resolution
We present a supervised machine learning algorithm for metonymy resolution, which exploits the similarity between examples of conventional metonymy. We show that syntactic head-mo...
Malvina Nissim, Katja Markert
CAISE
2004
Springer
14 years 29 days ago
A knowledge-based approach to ontology learning and semantic annotation
The so-called Semantic Web vision will certainly benefit from automatic semantic annotation of words in documents. We present a method, called structural semantic interconnections ...
Roberto Navigli, Paola Velardi
COLING
2008
13 years 9 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
CLEF
2009
Springer
13 years 8 months ago
CLEF 2009 Ad Hoc Track Overview: Robust-WSD Task
Abstract. The Robust-WSD at CLEF 2009 aims at exploring the contribution of Word Sense Disambiguation to monolingual and multilingual Information Retrieval. The organizers of the t...
Eneko Agirre, Giorgio Maria Di Nunzio, Thomas Mand...
LREC
2008
81views Education» more  LREC 2008»
13 years 9 months ago
Speech Errors on Frequently Observed Homophones in French: Perceptual Evaluation vs Automatic Classification
The present contribution aims at increasing our understanding of automatic speech recognition (ASR) errors involving frequent homophone or almost homophone words by confronting th...
Rena Nemoto, Ioana Vasilescu, Martine Adda-Decker