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        <namePart type="given">Ashique</namePart>
        <namePart type="family">Mahmood</namePart>
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    <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.</abstract>
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%0 Conference Proceedings
%T Identifying Comparative Structures in Biomedical Text
%A Gupta, Samir
%A Mahmood, A.S.M. Ashique
%A Ross, Karen
%A Wu, Cathy
%A Vijay-Shanker, K.
%Y Cohen, Kevin Bretonnel
%Y Demner-Fushman, Dina
%Y Ananiadou, Sophia
%Y Tsujii, Junichi
%S BioNLP 2017
%D 2017
%8 August
%I Association for Computational Linguistics
%C Vancouver, Canada,
%F gupta-etal-2017-identifying
%X 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.
%R 10.18653/v1/W17-2326
%U https://aclanthology.org/W17-2326
%U https://doi.org/10.18653/v1/W17-2326
%P 206-215

Markdown (Informal)

[Identifying Comparative Structures in Biomedical Text](https://aclanthology.org/W17-2326) (Gupta et al., BioNLP 2017)

• Identifying Comparative Structures in Biomedical Text (Gupta et al., BioNLP 2017)

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.