A term-based methodology for template creation in information extraction

Kalliopi Zervanou, John McNaught

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

In this paper, we are concerned with the problem of auto-matic template creation for Information Extraction (IE) and we present a methodology for the creation of IE templates. Our approach proposes the semi-Automatic construction of a semantic representation of textual information based on recognition of multi-word and nested terms and Named Entities (NEs) and subsequent exploitation of term and NE con-text for the induction of Information Extraction template rules.

Original languageEnglish
Title of host publicationNatural language processing - NLP 2000 - 2nd International Conference, Proceedings
EditorsDimitris N. Christodoulakis
Place of PublicationBerlin
PublisherSpringer
Pages418-423
Number of pages6
ISBN (Print)3540676058, 9783540676058
DOIs
Publication statusPublished - 2000
Externally publishedYes
Event2nd International Conference on Natural Language Processing, NLP 2000 - Patras, Greece
Duration: 2 Jun 20004 Jun 2000

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume1835

Conference

Conference2nd International Conference on Natural Language Processing, NLP 2000
CountryGreece
CityPatras
Period2/06/004/06/00

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  • Cite this

    Zervanou, K., & McNaught, J. (2000). A term-based methodology for template creation in information extraction. In D. N. Christodoulakis (Ed.), Natural language processing - NLP 2000 - 2nd International Conference, Proceedings (pp. 418-423). (Lecture Notes in Computer Science; Vol. 1835). Berlin: Springer. https://doi.org/10.1007/3-540-45154-4_38