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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5690
Title: Cause–Effect Relation Extraction from Documents in Metallurgy and Materials Science
Authors: Pawar S.
Sharma R.
Palshikar G.K.
Bhattacharyya P.
Varma V.
Published in: Transactions of the Indian Institute of Metals
Abstract: Given the explosion in availability of scientific documents (books and research papers), automatically extracting cause–effect (CE) relation mentions, along with other arguments such as polarity, uncertainty and evidence, is becoming crucial for creating scientific knowledge bases from scientific text documents. Such knowledge bases can be used for multiple tasks, such as question answering, exploring research hypotheses and identifying opportunities for new research. Linguistically complex constructs are used to express CE relations in text, which requires complex natural language processing techniques for CE relation extraction. In this paper, we propose two machine learning techniques for automatically extracting CE relation mentions from documents in metallurgy and materials science domains. We show experimentally that our algorithms outperform several baselines for extracting intra-sentence CE relation mentions. To the best of our knowledge, this is the first work for extraction of CE relations from documents in metallurgy and materials science domains. © 2019, The Indian Institute of Metals - IIM.
Citation: Transactions of the Indian Institute of Metals (2019), 72(8): 2209-2217
URI: https://doi.org/10.1007/s12666-019-01679-z
http://repository.iitr.ac.in/handle/123456789/5690
Issue Date: 2019
Publisher: Springer
Keywords: Cause-Effect Relations
Distant Supervision
Materials Science
Relation Extraction
Unsupervised Learning
ISSN: 9722815
Author Scopus IDs: 55654994400
55582575200
55890466600
7101803108
16053729400
Author Affiliations: Pawar, S., TCS Research, Tata Consultancy Services Limited, Pune, India, Indian Institute of Technology Bombay, Mumbai, India
Sharma, R., Indian Institute of Technology Roorkee, Roorkee, India
Palshikar, G.K., TCS Research, Tata Consultancy Services Limited, Pune, India
Bhattacharyya, P., Indian Institute of Technology Bombay, Mumbai, India
Varma, V., International Institute of Information Technology Hyderabad, Hyderabad, India
Corresponding Author: Palshikar, G.K.; TCS Research, Tata Consultancy Services LimitedIndia; email: gk.palshikar@tcs.com
Appears in Collections:Journal Publications [CS]

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