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A symbolic approach to automatic multiword term structuring


SanJuan, E; Dowdall, J; Imbekwe-SanJuan, F; Rinaldi, F (2005). A symbolic approach to automatic multiword term structuring. Computer Speech and Language, 19(4):524-542.

Abstract

This paper presents a three-level structuring of multiword terms basing on lexical inclusion, WordNet
similarity and a clustering approach. Term clustering by automatic data analysis methods oers an inter-
esting way of organizing a domains knowledge structure, useful for several information-oriented tasks like
science and technology watch, textmining, computer-assisted ontology population, Question Answering
(QA). This paper explores how this three-level term structuring brings to light the knowledge structures
from a corpus of genomics and compares the mapping of the domain topics against a hand-built ontology
(the GENIA ontology). Ways of integrating the results into a QA system are discussed.

This paper presents a three-level structuring of multiword terms basing on lexical inclusion, WordNet
similarity and a clustering approach. Term clustering by automatic data analysis methods oers an inter-
esting way of organizing a domains knowledge structure, useful for several information-oriented tasks like
science and technology watch, textmining, computer-assisted ontology population, Question Answering
(QA). This paper explores how this three-level term structuring brings to light the knowledge structures
from a corpus of genomics and compares the mapping of the domain topics against a hand-built ontology
(the GENIA ontology). Ways of integrating the results into a QA system are discussed.

Citations

6 citations in Web of Science®
9 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Date:October 2005
Deposited On:13 Jun 2009 06:46
Last Modified:05 Apr 2016 13:15
Publisher:Academic Press
ISSN:0885-2308
Publisher DOI:https://doi.org/10.1016/j.csl.2005.02.002
Permanent URL: https://doi.org/10.5167/uzh-19120

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TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
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