Towards Domain-Independent Argumentative Zoning

Evidence from Chemistry and Computational Linguistics

Simone Teufel, Advaith Siddharthan, Colin Batchelor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Argumentative Zoning (AZ) is an analysis of the argumentative and rhetorical structure of a scientific paper. It has been shown to be reliably used by independent human coders, and has proven useful for various information access tasks. Annotation experiments have however so far been restricted to one discipline, computational linguistics (CL). Here, we present a more informative AZ scheme with 15 categories in place of the original 7, and show that it can be applied to the life sciences as well as to CL. We use a domain expert to encode basic knowledge about the subject (such as terminology and domain specific
rules for individual categories) as part of the annotation guidelines. Our results
show that non-expert human coders can then use these guidelines to reliably annotate this scheme in two domains, chemistry and computational linguistics.
Original languageEnglish
Title of host publicationProceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09)
Place of PublicationSuntec, Singapore.
PublisherACL
Pages1493–1502
Number of pages10
ISBN (Print)978-1-932432-59-6, 978-1-932432-62-6, 978-1-932432-63-3
Publication statusPublished - Aug 2009
Event2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09) - , Singapore
Duration: 6 Aug 20097 Aug 2009

Conference

Conference2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09)
CountrySingapore
Period6/08/097/08/09

Fingerprint

Computational linguistics
Zoning
Terminology
Experiments

Cite this

Teufel, S., Siddharthan, A., & Batchelor, C. (2009). Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09) (pp. 1493–1502). Suntec, Singapore. : ACL.

Towards Domain-Independent Argumentative Zoning : Evidence from Chemistry and Computational Linguistics. / Teufel, Simone; Siddharthan, Advaith; Batchelor, Colin.

Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09). Suntec, Singapore. : ACL, 2009. p. 1493–1502.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Teufel, S, Siddharthan, A & Batchelor, C 2009, Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics. in Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09). ACL, Suntec, Singapore. , pp. 1493–1502, 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09), Singapore, 6/08/09.
Teufel S, Siddharthan A, Batchelor C. Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics. In Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09). Suntec, Singapore. : ACL. 2009. p. 1493–1502
Teufel, Simone ; Siddharthan, Advaith ; Batchelor, Colin. / Towards Domain-Independent Argumentative Zoning : Evidence from Chemistry and Computational Linguistics. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09). Suntec, Singapore. : ACL, 2009. pp. 1493–1502
@inproceedings{a5ad544cd3d541c794162d46036afc85,
title = "Towards Domain-Independent Argumentative Zoning: Evidence from Chemistry and Computational Linguistics",
abstract = "Argumentative Zoning (AZ) is an analysis of the argumentative and rhetorical structure of a scientific paper. It has been shown to be reliably used by independent human coders, and has proven useful for various information access tasks. Annotation experiments have however so far been restricted to one discipline, computational linguistics (CL). Here, we present a more informative AZ scheme with 15 categories in place of the original 7, and show that it can be applied to the life sciences as well as to CL. We use a domain expert to encode basic knowledge about the subject (such as terminology and domain specific rules for individual categories) as part of the annotation guidelines. Our results show that non-expert human coders can then use these guidelines to reliably annotate this scheme in two domains, chemistry and computational linguistics.",
author = "Simone Teufel and Advaith Siddharthan and Colin Batchelor",
note = "2009 Conference on Empirical Methods in Natural Language Processing. A meeting of SIGDAT, a special interest group of ACL held in conjunction with ACL-IJCNLP 2009, 6–7 August 2009, Singapore",
year = "2009",
month = "8",
language = "English",
isbn = "978-1-932432-59-6",
pages = "1493–1502",
booktitle = "Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09)",
publisher = "ACL",

}

TY - GEN

T1 - Towards Domain-Independent Argumentative Zoning

T2 - Evidence from Chemistry and Computational Linguistics

AU - Teufel, Simone

AU - Siddharthan, Advaith

AU - Batchelor, Colin

N1 - 2009 Conference on Empirical Methods in Natural Language Processing. A meeting of SIGDAT, a special interest group of ACL held in conjunction with ACL-IJCNLP 2009, 6–7 August 2009, Singapore

PY - 2009/8

Y1 - 2009/8

N2 - Argumentative Zoning (AZ) is an analysis of the argumentative and rhetorical structure of a scientific paper. It has been shown to be reliably used by independent human coders, and has proven useful for various information access tasks. Annotation experiments have however so far been restricted to one discipline, computational linguistics (CL). Here, we present a more informative AZ scheme with 15 categories in place of the original 7, and show that it can be applied to the life sciences as well as to CL. We use a domain expert to encode basic knowledge about the subject (such as terminology and domain specific rules for individual categories) as part of the annotation guidelines. Our results show that non-expert human coders can then use these guidelines to reliably annotate this scheme in two domains, chemistry and computational linguistics.

AB - Argumentative Zoning (AZ) is an analysis of the argumentative and rhetorical structure of a scientific paper. It has been shown to be reliably used by independent human coders, and has proven useful for various information access tasks. Annotation experiments have however so far been restricted to one discipline, computational linguistics (CL). Here, we present a more informative AZ scheme with 15 categories in place of the original 7, and show that it can be applied to the life sciences as well as to CL. We use a domain expert to encode basic knowledge about the subject (such as terminology and domain specific rules for individual categories) as part of the annotation guidelines. Our results show that non-expert human coders can then use these guidelines to reliably annotate this scheme in two domains, chemistry and computational linguistics.

M3 - Conference contribution

SN - 978-1-932432-59-6

SN - 978-1-932432-62-6

SN - 978-1-932432-63-3

SP - 1493

EP - 1502

BT - Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing (EMNLP'09)

PB - ACL

CY - Suntec, Singapore.

ER -