I have been fortunate to work with an amazing set of researchers in the past. I did my Masters thesis at the Indian Institute of Technology, Kharagpur where I was advised by Prof. Pawan Goyal and Prof. Sudeshna Sarkar. I also interned at IBM Research Lab, Dublin with Yufang Hou and Charles Jochim. Prior to this, I spent a summer at TCS Research Lab, India working on biomedical and clinical NLP Technologies. I graduated with a B.Tech (Hons.) in Computer Science and Engineering from Institute of Engineering and Management, Kolkata, India. Then I pursued MS in Computer Scienece and Engineering from IIT Kharagpur. My research interests lie at the intersection of computational linguistics for healthcare, computational social science and scientific information extraction. For more details, check my CV or hit me up on my email.
Publications
End-to-End Construction of NLP Knowledge Graph
Ishani Mondal, Yufang Hou, Charles Jochim
Findings of ACL-IJCNLP'21 | Annual Conference of the Association for Computational
Linguistics
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BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification
Ishani Mondal
NAACL-HLT'21 | North American Chapter of the
Association for Computational Linguistics: Human Language Technologies
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Multi-Objective Few-shot Learning for Fair Classification
Ishani Mondal, Procheta Sen, Debasis Ganguly
CIKM '21 | Proceedings of the 30th ACM International Conference on Information
& Knowledge Management
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ALEX: Active Learning based Enhancement of a Classification Model's EXplainability
Ishani Mondal, Debasis Ganguly
|CIKM '20 | Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder
*Ishani Mondal, *Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh K Pillai
(* = Equal Contribution)
IEEE BIBE'19 |2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)
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A Linguistic Annotation Framework to Study Interactions in Multilingual Healthcare Conversational Forums
Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Ashish Sharma, Evans Gitau, Jacki O’Neill, Kagonya Awori, Sarah Gitau
LAW-DMR@EMNLP'21 |Proceedings of The Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop
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ALEX: Active Learning based Enhancement of a Classification Model's EXplainability
Ishani Mondal, Debasis Ganguly
|CIKM '20 | Proceedings of the 29th ACM International Conference on Information & Knowledge Management
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BERTKG-DDI: Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions
*Ishani Mondal
SDU@AAAI'21 2nd Scientific Document Understanding Workshop (SDU) @ AAAI 2021
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BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information
Ishani Mondal
KNLP@AACL'20 |Proceedings of Knowledgeable NLP: the First Workshop on Integrating Structured Knowledge and Neural Networks for NLP
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Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility Criteria
Tirthankar Dasgupta, Ishani Mondal, Abir Naskar, Lipika Dey
HealthIntelligence@AAAI'20 | Explainable AI in Healthcare and Medicine,
Studies in Computational Intelligence
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Automatic Segregation and Classification of Inclusion and Exclusion Criteria of Clinical Trials to Improve Patient Eligibility Matching
*Ishani Mondal, *Tirthankar Dasgupta, Abir Naskar, Sudeshna Jana, Lipika Dey
(* = Equal Contribution)
HealthIntelligence@AAAI'20 | Explainable AI in Healthcare and Medicine,
Studies in Computational Intelligence
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Medical Entity Linking using Triplet Network
Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu
ClinicalNLP@NAACL'19 | Proceedings of the 2nd Clinical Natural Language Processing Workshop
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