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» Using Corpus Statistics and WordNet Relations for Sense Iden...
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EMNLP
2004
13 years 7 months ago
Unsupervised WSD based on Automatically Retrieved Examples: The Importance of Bias
This paper explores the large-scale acquisition of sense-tagged examples for Word Sense Disambiguation (WSD). We have applied the "WordNet monosemous relatives" method t...
Eneko Agirre, David Martínez
IRCDL
2007
13 years 7 months ago
An Hybrid Approach for Improving Word Sense Disambiguation and Text Clustering
Abstract— In this paper we suggest a new approach to represent text document collections, integrating background knowledge to improve clustering effectiveness. Background knowled...
Paolo Casoto, Carlo Tasso
CIARP
2004
Springer
13 years 11 months ago
Unsupervised Learning of Ontology-Linked Selectional Preferences
We present a method for extracting selectional preferences of verbs from unannotated text. These selectional preferences are linked to an ontology (e.g. the hypernym relations foun...
Hiram Calvo, Alexander F. Gelbukh
ECIR
2004
Springer
13 years 7 months ago
Identification of Relevant and Novel Sentences Using Reference Corpus
In the novelty task on sentence level, the amount of information used in similarity computation is the major challenging issue. A shallow NLP approach extracts noun and verb featu...
Hsin-Hsi Chen, Ming-Feng Tsai, Ming-Hung Hsu
ACL
2009
13 years 3 months ago
Sense-based Interpretation of Logical Metonymy Using a Statistical Method
The use of figurative language is ubiquitous in natural language texts and it is a serious bottleneck in automatic text understanding. We address the problem of interpretation of ...
Ekaterina Shutova