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COLING
1990
14 years 11 months ago
Word Sense Disambiguation with Very Large Neural Networks Extracted from Machine Readable Dictionaries
In this paper, we describe a means for automatically building very large neural networks (VLNNs) from definition texts in machine-readable dictionaries, and demonstrate the use of...
Jean Véronis, Nancy Ide
ACL
2006
14 years 11 months ago
Word Sense and Subjectivity
Subjectivity and meaning are both important properties of language. This paper explores their interaction, and brings empirical evidence in support of the hypotheses that (1) subj...
Janyce Wiebe, Rada Mihalcea
ANLP
1997
80views more  ANLP 1997»
14 years 11 months ago
Sequential Model Selection for Word Sense Disambiguation
Statistical models of word-sense disambiguation are often based on a small number of contextual features or on a model that is assumed to characterize the interactions among a set...
Ted Pedersen, Rebecca F. Bruce, Janyce Wiebe
CIKM
2005
Springer
15 years 3 months ago
Word sense disambiguation in queries
This paper presents a new approach to determine the senses of words in queries by using WordNet. In our approach, noun phrases in a query are determined first. For each word in th...
Shuang Liu, Clement T. Yu, Weiyi Meng
CORR
2008
Springer
143views Education» more  CORR 2008»
14 years 10 months ago
A chain dictionary method for Word Sense Disambiguation and applications
Abstract. A large class of unsupervised algorithms for Word Sense Disambiguation (WSD) is that of dictionary-based methods. Various algorithms have as the root Lesk's algorith...
Doina Tatar, Gabriela Serban, Andreea Diana Mihis,...