A term-based methodology for template creation in information extraction

Kalliopi Zervanou; John McNaught

doi:10.1007/3-540-45154-4_38

A term-based methodology for template creation in information extraction

Kalliopi Zervanou^*, John McNaught

^*Corresponding author for this work

University of Manchester

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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 language	English
Title of host publication	Natural language processing - NLP 2000 - 2nd International Conference, Proceedings
Editors	Dimitris N. Christodoulakis
Publisher	Springer
Pages	418-423
Number of pages	6
ISBN (Print)	3540676058, 9783540676058
DOIs	https://doi.org/10.1007/3-540-45154-4_38
Publication status	Published - 2000
Event	2nd International Conference on Natural Language Processing, NLP 2000 - Patras, Greece Duration: 2 Jun 2000 → 4 Jun 2000

Publication series

Name	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	1835
ISSN (Print)	0302-9743

Conference

Conference	2nd International Conference on Natural Language Processing, NLP 2000
Country/Territory	Greece
City	Patras
Period	2/06/00 → 4/06/00

Bibliographical note

Publisher Copyright:
© 2000 Springer-Verlag Berlin Heidelberg.

Access to Document

10.1007/3-540-45154-4_38

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 Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 1835). Springer. https://doi.org/10.1007/3-540-45154-4_38

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title = "A term-based methodology for template creation in information extraction",

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.",

author = "Kalliopi Zervanou and John McNaught",

note = "Publisher Copyright: {\textcopyright} 2000 Springer-Verlag Berlin Heidelberg.; 2nd International Conference on Natural Language Processing, NLP 2000 ; Conference date: 02-06-2000 Through 04-06-2000",

year = "2000",

doi = "10.1007/3-540-45154-4\_38",

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Zervanou, K & McNaught, J 2000, A term-based methodology for template creation in information extraction. in DN Christodoulakis (ed.), Natural language processing - NLP 2000 - 2nd International Conference, Proceedings. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science), vol. 1835, Springer, pp. 418-423, 2nd International Conference on Natural Language Processing, NLP 2000, Patras, Greece, 2/06/00. https://doi.org/10.1007/3-540-45154-4_38

A term-based methodology for template creation in information extraction. / Zervanou, Kalliopi; McNaught, John.
Natural language processing - NLP 2000 - 2nd International Conference, Proceedings. ed. / Dimitris N. Christodoulakis. Springer, 2000. p. 418-423 (Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science); Vol. 1835).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - McNaught, John

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AB - 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.

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DO - 10.1007/3-540-45154-4_38

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AN - SCOPUS:84943185324

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SN - 9783540676058

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ER -

A term-based methodology for template creation in information extraction

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