Zhang, Z. orcid.org/0000-0002-8587-8618, Webster, P. orcid.org/0000-0001-5983-9511, Uren, V. et al. (2 more authors) (2012) Automatically extracting procedural knowledge from instructional texts using natural language processing. In: Proceedings of LREC 2012. International Conference on Language Resources and Evaluation (LREC 2012), 23-25 May 2012, Istanbul, Turkey. European Language Resources Association , pp. 520-527. ISBN 978-2-9517408-7-7
Abstract
Procedural knowledge is the knowledge required to perform certain tasks, and forms an important part of expertise. A major source of procedural knowledge is natural language instructions. While these readable instructions have been useful learning resources for human, they are not interpretable by machines. Automatically acquiring procedural knowledge in machine interpretable formats from instructions has become an increasingly popular research topic due to their potential applications in process automation. However, it has been insufficiently addressed. This paper presents an approach and an implemented system to assist users to automatically acquire procedural knowledge in structured forms from instructions. We introduce a generic semantic representation of procedures for analysing instructions, using which natural language techniques are applied to automatically extract structured procedures from instructions. The method is evaluated in three domains to justify the generality of the proposed semantic representation as well as the effectiveness of the implemented automatic system.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2019 European Language Resources Association. |
Keywords: | procedural knowledge; information extraction; instructional text |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) The University of Sheffield > Administrative Services (Sheffield) > Library (Sheffield) The University of Sheffield > Professional Services (Sheffield) > Library (Sheffield) |
Funding Information: | Funder Grant number EUROPEAN COMMISSION - FP6/FP7 SMARTPRODUCTS - 231204 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 17 Apr 2019 10:15 |
Last Modified: | 17 Apr 2019 10:15 |
Published Version: | http://www.lrec-conf.org/proceedings/lrec2012/summ... |
Status: | Published |
Publisher: | European Language Resources Association |
Refereed: | Yes |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:140889 |