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Discourse structure analysis for requirement mining

Kang Choi, Juyeon and Saint-Dizier, Patrick Discourse structure analysis for requirement mining. (2013) International Journal of Knowledge Content Development & Technology, 3 (2). 43-65. ISSN 2234-0068

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Official URL: http://dx.doi.org/10.5865/IJKCT.2013.3.2.043

Abstract

In this work, we first introduce two main approaches to writing requirements and then propose a method based on Natural Language Processing to improve requirement authoring and the overall coherence, cohesion and organization of requirement documents. We investigate the structure of requirement kernels, and then the discourse structure associated with those kernels. This will then enable the system to accurately extract requirements and their related contexts from texts (called requirement mining). Finally, we relate a first experimentation on requirement mining based on texts from seven companies. An evaluation that compares those results with manually annotated corpora of documents is given to conclude.

Item Type:Article
Additional Information:Thanks to RIKCDT editor. The definitive version is available at http://koreascience.or.kr/article/ArticleFullRecord.jsp?cn=JSKTBN_2013_v3n2_43
HAL Id:hal-01137321
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
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Deposited On:30 Mar 2015 13:07

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