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Open AccessProceedings ArticleDOI

Lexical chains for question answering

Dan Moldovan, +1 more
- pp 1-7
TLDR
Topical relations expressed as lexical chains on extended WordNet improve the performance of a question answering system by increasing the document retrieval recall and by providing the much needed axioms that link question keywords with answers.
Abstract
The paper presents a method for finding topically related words on an extended WordNet. By exploiting the information in the WordNet glosses, the connectivity between the synsets is dramatically increased. Topical relations expressed as lexical chains on extended WordNet improve the performance of a question answering system by increasing the document retrieval recall and by providing the much needed axioms that link question keywords with answers.

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References
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Journal ArticleDOI

WordNet : an electronic lexical database

Christiane Fellbaum
- 01 Sep 2000 - 
TL;DR: The lexical database: nouns in WordNet, Katherine J. Miller a semantic network of English verbs, and applications of WordNet: building semantic concordances are presented.
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 Article

LASSO: A Tool for Surfing the Answer Net

TL;DR: The architecture, operation and results obtained with the Lasso system developed in the Natural Language Processing Laboratory at SMU, which relies on a combination of syntactic and semantic techniques, and lightweight abductive inference to answers.

WordNet 2 - A Morphologically and Semantically Enhanced Resource

TL;DR: An on-going project mtended to enhance WordNet molpholog~cally and semanttcally and a software tool that automatically parses the conceptual defining glosses, attributing part-ofspeech tags and phrasal brackets is presented.
Journal ArticleDOI

Building hypertext links by computing semantic similarity

TL;DR: A novel method for automatic hypertext generation that is based on a technique called lexical chaining, a method for discovering sequences of related words in a text, and attempts to take into account the effects of synonymy and polysemy.