Identifying Comparative Structures in Biomedical Text

Samir Gupta, A.S.M. Ashique Mahmood, Karen Ross, Cathy Wu, K. Vijay-Shanker

Abstract
Comparison sentences are very commonly used by authors in biomedical literature to report results of experiments. In such comparisons, authors typically make observations under two different scenarios. In this paper, we present a system to automatically identify such comparative sentences and their components i.e. the compared entities, the scale of the comparison and the aspect on which the entities are being compared. Our methodology is based on dependencies obtained by applying a parser to extract a wide range of comparison structures. We evaluated our system for its effectiveness in identifying comparisons and their components. The system achieved a F-score of 0.87 for comparison sentence identification and 0.77-0.81 for identifying its components.
Anthology ID:
W17-2326
Volume:
BioNLP 2017
Month:
August
Year:
2017
Address:
Vancouver, Canada,
Editors:
Kevin Bretonnel Cohen, Dina Demner-Fushman, Sophia Ananiadou, Junichi Tsujii
Venue:
BioNLP
SIG:
SIGBIOMED
Publisher:
Association for Computational Linguistics
Note:
Pages:
206–215
Language:
URL:
https://aclanthology.org/W17-2326
DOI:
10.18653/v1/W17-2326
Bibkey:
Cite (ACL):
Samir Gupta, A.S.M. Ashique Mahmood, Karen Ross, Cathy Wu, and K. Vijay-Shanker. 2017. Identifying Comparative Structures in Biomedical Text. In BioNLP 2017, pages 206–215, Vancouver, Canada,. Association for Computational Linguistics.
Cite (Informal):
Identifying Comparative Structures in Biomedical Text (Gupta et al., BioNLP 2017)
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