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Output details

11 - Computer Science and Informatics

University of Warwick

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Output 25 of 99 in the submission

Article title

Automatic recognition of conceptualization zones in scientific articles and two life science applications

Type

D - Journal article

DOI

10.1093/bioinformatics/bts071

Title of journal

Bioinformatics

Article number

Volume number

Issue number

First page of article

991

ISSN of journal

1367-4803

Year of publication

2012

URL

http://dl.acm.org/citation.cfm?id=2197356.2197376

Number of additional authors

Additional information

<22> Published in the leading journal for bioinformatics, this research constitutes the first large-scale annotation and automated analysis of functional discourse in scientific articles and has been cited by colleagues at the universities of Cambridge, Manchester, Queensland-Australia, Pittsburgh-USA, in the context of information extraction from biomedical literature. Profs Webber (Edinburgh) and Strube (Heidelberg) cite this paper in their respective overviews of discourse structure and language technology. This paper has led to a workshop (LAW-VII&ID) at ACL 2013, the leading conference on computational linguistics. Colleagues at Penn State used the resources described in this work in their award-winning paper at EMNLP 2012.

Interdisciplinary

Cross-referral requested

Research group

M - Methodologies and Applications

Citation count

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract