Using pathfinder to extract semantic information from text
Pathfinder associative networks
SIGDOC '86 Proceedings of the 5th annual international conference on Systems documentation
An intelligent analyzer and understander of English
Communications of the ACM
Subject-dependent co-occurrence and word sense disambiguation
ACL '91 Proceedings of the 29th annual meeting on Association for Computational Linguistics
A stochastic approach to parsing
COLING '86 Proceedings of the 11th coference on Computational linguistics
Tagging for learning: collecting thematic relations from corpus
COLING '90 Proceedings of the 13th conference on Computational linguistics - Volume 1
WSD Algorithm Applied to a NLP System
NLDB '00 Proceedings of the 5th International Conference on Applications of Natural Language to Information Systems-Revised Papers
Specification Marks for Word Sense Disambiguation: New Development
CICLing '01 Proceedings of the Second International Conference on Computational Linguistics and Intelligent Text Processing
Combining unsupervised lexical knowledge methods for word sense disambiguation
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Word sense disambiguation using Conceptual Density
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Exploiting links in WordNet hierarchy for word sense disambiguation of nouns
Proceedings of the International Conference on Advances in Computing, Communication and Control
Critical analysis of WSD algorithms
Proceedings of the International Conference on Advances in Computing, Communication and Control
Personalizing PageRank for word sense disambiguation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Using semantic techniques to access web data
Information Systems
Word sense disambiguation as a traveling salesman problem
Artificial Intelligence Review
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The resolution of lexical ambiguity is important for most natural language processing tasks, and a range of computational techniques have been proposed for its solution. None of these has yet proven effective on a large scale. In this paper, we describe a method for lexical disambiguation of text using the definitions in a machine-readable dictionary together with the technique of simulated annealing. The method operates on complete sentences and attempts to select the optimal combinations of word senses for all the words in the sentence simultaneously. The words in the sentences may be any of the 28,000 headwords in Longman's Dictionary of Contemporary English (LDOCE) and are disambiguated relative to the senses given in LDOCE. Our initial results on a sample set of 50 sentences are comparable to those of other researchers, and the fully automatic method requires no hand coding of lexical entries, or hand tagging of text.