Samir Gupta


Identifying Comparative Structures in Biomedical Text
Samir Gupta | A.S.M. Ashique Mahmood | Karen Ross | Cathy Wu | K. Vijay-Shanker
BioNLP 2017

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.


An extended dependency graph for relation extraction in biomedical texts
Yifan Peng | Samir Gupta | Cathy Wu | Vijay Shanker
Proceedings of BioNLP 15


JUNLG-MSR: A Machine Learning Approach of Main Subject Reference Selection with Rule Based Improvement
Samir Gupta | Sivaji Bandopadhyay
Proceedings of the 2009 Workshop on Language Generation and Summarisation (UCNLG+Sum 2009)