Ishani Mondal

According to our database, Ishani Mondal authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation.

Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan Lee Boyd-Graber

CoRR, 2024

MunTTS: A Text-to-Speech System for Mundari.

Varun Gumma, Rishav Hada, Aditya Yadavalli, Pamir Gogoi, Ishani Mondal, Vivek Seshadri, Kalika Bali

CoRR, 2024

CFMatch: Aligning Automated Answer Equivalence Evaluation with Expert Judgments For Open-Domain Question Answering.

Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan L. Boyd-Graber

CoRR, 2024

How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation.

Yoo Yeon Sung, Ishani Mondal, Jordan L. Boyd-Graber

CoRR, 2024

Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents.

Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction.

Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber

CoRR, 2023

Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages.

Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R. Raghav, G. Sai Chaitanya, Pawan Goyal

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues.

Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Anjana Arunkumar, Arjun Ashok, Arut Selvan Dhanasekaran, Atharva Naik, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Maitreya Patel, Kuntal Kumar Pal, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Shailaja Keyur Sampat, Savan Doshi, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi, Noah A. Smith, Daniel Khashabi

CoRR, 2022

Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic?

Ishani Mondal, Kabir Ahuja, Mohit Jain, Jacki O. Neil, Kalika Bali, Monojit Choudhury

CoRR, 2022

Language Patterns and Behaviour of the Peer Supporters in Multilingual Healthcare Conversational Forums.

Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Jacki O'Neill, Millicent Ochieng, Kagonya Awori, Keshet Ronen

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

"#DisabledOnIndianTwitter" : A Dataset towards Understanding the Expression of People with Disabilities on Indian Twitter.

Ishani Mondal, Sukhnidh Kaur, Kalika Bali, Aditya Vashistha, Manohar Swaminathan

Proceedings of the Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, 2022

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, Amirreza Mirzaei, Atharva Naik, Arjun Ashok, Arut Selvan Dhanasekaran, Anjana Arunkumar, David Stap, Eshaan Pathak, Giannis Karamanolakis, Haizhi Gary Lai, Ishan Purohit, Ishani Mondal, Jacob Anderson, Kirby Kuznia, Krima Doshi, Kuntal Kumar Pal, Maitreya Patel, Mehrad Moradshahi, Mihir Parmar, Mirali Purohit, Neeraj Varshney, Phani Rohitha Kaza, Pulkit Verma, Ravsehaj Singh Puri, Rushang Karia, Savan Doshi, Shailaja Keyur Sampat, Siddhartha Mishra, Sujan Reddy A, Sumanta Patro, Tanay Dixit, Xudong Shen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Global Readiness of Language Technology for Healthcare: What Would It Take to Combat the Next Pandemic?

Ishani Mondal, Kabir Ahuja, Mohit Jain, Jacki O'Neill, Kalika Bali, Monojit Choudhury

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

End-to-End NLP Knowledge Graph Construction.

Ishani Mondal, Yufang Hou, Charles Jochim

CoRR, 2021

BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification.

Ishani Mondal

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Multi-objective Few-shot Learning for Fair Classification.

Ishani Mondal, Procheta Sen, Debasis Ganguly

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

End-to-End Construction of NLP Knowledge Graph.

Ishani Mondal, Yufang Hou, Charles Jochim

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

BERTKG-DDI: Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions.

Ishani Mondal

Proceedings of the Workshop on Scientific Document Understanding co-located with 35th AAAI Conference on Artificial Inteligence, 2021

2020

BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information.

Ishani Mondal

CoRR, 2020

Medical Entity Linking using Triplet Network.

Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu

CoRR, 2020

Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions.

Ishani Mondal

CoRR, 2020

ALEX: Active Learning based Enhancement of a Model's Explainability.

Ishani Mondal, Debasis Ganguly

CoRR, 2020

Approaches to biomedical coreference resolution.

Ishani Mondal

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

ALEX: Active Learning based Enhancement of a Classification Model's EXplainability.

Ishani Mondal, Debasis Ganguly

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility Criteria.

Tirthankar Dasgupta, Ishani Mondal, Abir Naskar, Lipika Dey

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder.

Sukannya Purkayastha, Ishani Mondal, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai

Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019