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Journal ArticleDOI

WordNet : an electronic lexical database

Christiane Fellbaum
- 01 Sep 2000 - 
- Vol. 76, Iss: 3, pp 706
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TLDR
The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
Abstract
Part 1 The lexical database: nouns in WordNet, George A. Miller modifiers in WordNet, Katherine J. Miller a semantic network of English verbs, Christiane Fellbaum design and implementation of the WordNet lexical database and searching software, Randee I. Tengi. Part 2: automated discovery of WordNet relations, Marti A. Hearst representing verb alterations in WordNet, Karen T. Kohl et al the formalization of WordNet by methods of relational concept analysis, Uta E. Priss. Part 3 Applications of WordNet: building semantic concordances, Shari Landes et al performance and confidence in a semantic annotation task, Christiane Fellbaum et al WordNet and class-based probabilities, Philip Resnik combining local context and WordNet similarity for word sense identification, Claudia Leacock and Martin Chodorow using WordNet for text retrieval, Ellen M. Voorhees lexical chains as representations of context for the detection and correction of malapropisms, Graeme Hirst and David St-Onge temporal indexing through lexical chaining, Reem Al-Halimi and Rick Kazman COLOR-X - using knowledge from WordNet for conceptual modelling, J.F.M. Burg and R.P. van de Riet knowledge processing on an extended WordNet, Sanda M. Harabagiu and Dan I Moldovan appendix - obtaining and using WordNet.

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References
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Journal ArticleDOI

Introduction to WordNet: An On-line Lexical Database

TL;DR: Standard alphabetical procedures for organizing lexical information put together words that are spelled alike and scatter words with similar or related meanings haphazardly through the list.
Journal Article

Lexical cohesion computed by thesaural relations as an indicator of the structure of text

TL;DR: Since the lexical chains are computable, and exist in non-domain-specific text, they provide a valuable indicator of text structure, and provide a semantic context for interpreting words, concepts, and sentences.
Proceedings ArticleDOI

Using WordNet to disambiguate word senses for text retrieval

TL;DR: The IS-A links define a generalization/specialization hierarchy that is not sufficient to reliably select the correct sense of a noun from the set of fine sense distinctions in WordNet; and missing correct matches because of incorrect sense resolution has a much more deleterious effect on retrieval performance than does making spurious matches.
Proceedings Article

A neat theory of marker passing

TL;DR: It is argued that paths found between open-class words in a sentence are best thought of as backbones of proofs that the terms at either end of the paths exist in the story and shown how viewing paths in this way naturally leads to the kinds of inferences which are normally thought to characterize "understanding".
Journal ArticleDOI

Marker passing as a weak method for text inferencing

TL;DR: A method is proposed here, one which recognizes six very general classes of inference, which are not dependent on individual knowledge structures, but instead rely on patterns of connectivity between concepts.
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