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ACL
2007
13 years 6 months ago
Word Sense Disambiguation Improves Statistical Machine Translation
Recent research presents conflicting evidence on whether word sense disambiguation (WSD) systems can help to improve the performance of statistical machine translation (MT) syste...
Yee Seng Chan, Hwee Tou Ng, David Chiang
CICLING
2008
Springer
13 years 6 months ago
A Semantics-Enhanced Language Model for Unsupervised Word Sense Disambiguation
An N-gram language model aims at capturing statistical word order dependency information from corpora. Although the concept of language models has been applied extensively to handl...
Shou-de Lin, Karin Verspoor
FLAIRS
2008
13 years 7 months ago
A Semantic Method for Textual Entailment
The problem of recognizing textual entailment (RTE) has been recently addressed using syntactic and lexical models with some success. Here, we further explore this problem, this t...
Andrew Neel, Max H. Garzon, Vasile Rus
ECAI
2000
Springer
13 years 9 months ago
Naive Bayes and Exemplar-based Approaches to Word Sense Disambiguation Revisited
Abstract. This paper describes an experimental comparison between two standard supervised learning methods, namely Naive Bayes and Exemplar–basedclassification, on the Word Sens...
Gerard Escudero, Lluís Màrquez, Germ...
ERSHOV
2003
Springer
13 years 10 months ago
Automatic Evaluation of Quality of an Explanatory Dictionary by Comparison of Word Senses
Words in the explanatory dictionary have different meanings (senses) described using natural language definitions. If the definitions of two senses of the same word are too simi...
Alexander F. Gelbukh, Grigori Sidorov, Sang-Yong H...
CICLING
2003
Springer
13 years 10 months ago
An Evaluation of a Lexicographer's Workbench Incorporating Word Sense Disambiguation
NLPsystem developers and corpus lexicographers would both bene t from a tool for nding and organizing the distinctive patterns of use of words in texts. Such a tool would be an ass...
Adam Kilgarriff, Rob Koeling
CICLING
2003
Springer
13 years 10 months ago
Sentence Co-occurrences as Small-world Graphs: A Solution to Automatic Lexical Disambiguation
This paper presents a graph-theoretical approach to lexical disambiguation on word co-occurrences. Producing a dictionary similar to WordNet, this method is the counterpart to word...
Stefan Bordag
TAL
2004
Springer
13 years 10 months ago
Smoothing and Word Sense Disambiguation
This paper presents an algorithm to apply the smoothing techniques described in [1] to three different Machine Learning (ML) methods for Word Sense Disambiguation (WSD). The method...
Eneko Agirre, David Martínez
IJCNLP
2004
Springer
13 years 10 months ago
Word Sense Disambiguation Using Heterogeneous Language Resources
This paper proposes a robust method for word sense disambiguation of Japanese. We combined several classifiers using heterogeneous language resources, a machine readable dictiona...
Kiyoaki Shirai, Takayuki Tamagaki
CIARP
2004
Springer
13 years 10 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