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ORCIDIshani Mondal
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2020 – today
- 2025
[c19]Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan Lee Boyd-Graber:
ADAPTIVE IE: Investigating the Complementarity of Human-AI Collaboration to Adaptively Extract Information on-the-fly. COLING 2025: 5870-5889- 2024
- [c18]Ishani Mondal, Shwetha S, Anandhavelu Natarajan, Aparna Garimella, Sambaran Bandyopadhyay, Jordan L. Boyd-Graber:
Presentations by the Humans and For the Humans: Harnessing LLMs for Generating Persona-Aware Slides from Documents. EACL (1) 2024: 2664-2684 - [c17]Zongxia Li, Ishani Mondal, Huy Nghiem, Yijun Liang, Jordan L. Boyd-Graber:
PEDANTS: Cheap but Effective and Interpretable Answer Equivalence. EMNLP (Findings) 2024: 9373-9398 - [c16]Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber:
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. EMNLP (Findings) 2024: 13342-13375 - [c15]Ishani Mondal, Abhilasha Sancheti:
On the robustness of Chatgpt under input perturbations for Named Entity Recognition Task. Tiny Papers @ ICLR 2024 - [i18]Yoo Yeon Sung, Ishani Mondal, Jordan L. Boyd-Graber:
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation. CoRR abs/2401.11185 (2024) - [i17]Varun Gumma, Rishav Hada, Aditya Yadavalli, Pamir Gogoi, Ishani Mondal, Vivek Seshadri, Kalika Bali:
MunTTS: A Text-to-Speech System for Mundari. CoRR abs/2401.15579 (2024) - [i16]Zongxia Li, Ishani Mondal, Yijun Liang, Huy Nghiem, Jordan Lee Boyd-Graber:
PANDA (Pedantic ANswer-correctness Determination and Adjudication): Improving Automatic Evaluation for Question Answering and Text Generation. CoRR abs/2402.11161 (2024) - [i15]Ishani Mondal, Abhilasha Sancheti:
How much reliable is ChatGPT's prediction on Information Extraction under Input Perturbations? CoRR abs/2404.05088 (2024) - [i14]Yoo Yeon Sung, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber:
ADVSCORE: A Metric for the Evaluation and Creation of Adversarial Benchmarks. CoRR abs/2406.16342 (2024) - [i13]Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan L. Boyd-Graber:
SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement. CoRR abs/2409.19242 (2024) - 2023
- [c14]Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. AAAI 2023: 12986-12994 - [c13]Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R. Raghav, G. Sai Chaitanya, Pawan Goyal:
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages. EACL (Findings) 2023: 1825-1836 - [i12]Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R. Raghav, G. Sai Chaitanya, Pawan Goyal:
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages. CoRR abs/2302.09685 (2023) - [i11]Ishani Mondal, Michelle Yuan, Anandhavelu Natarajan, Aparna Garimella, Francis Ferraro, Andrew Blair-Stanek, Benjamin Van Durme, Jordan L. Boyd-Graber:
InteractiveIE: Towards Assessing the Strength of Human-AI Collaboration in Improving the Performance of Information Extraction. CoRR abs/2305.14659 (2023) - 2022
- [c12]Ishani Mondal, Kabir Ahuja, Mohit Jain, Jacki O'Neill, Kalika Bali, Monojit Choudhury:
Global Readiness of Language Technology for Healthcare: What Would It Take to Combat the Next Pandemic? COLING 2022: 4320-4335 - [c11]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:
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks. EMNLP 2022: 5085-5109 - [c10]Ishani Mondal, Sukhnidh Kaur, Kalika Bali, Aditya Vashistha, Manohar Swaminathan:
"#DisabledOnIndianTwitter" : A Dataset towards Understanding the Expression of People with Disabilities on Indian Twitter. AACL/IJCNLP (Findings) 2022: 375-386 - [c9]Ishani Mondal, Kalika Bali, Mohit Jain, Monojit Choudhury, Jacki O'Neill, Millicent Ochieng, Kagonya Awori, Keshet Ronen:
Language Patterns and Behaviour of the Peer Supporters in Multilingual Healthcare Conversational Forums. LREC 2022: 963-975 - [i10]Ishani Mondal, Kabir Ahuja, Mohit Jain, Jacki O. Neil, Kalika Bali, Monojit Choudhury:
Global Readiness of Language Technology for Healthcare: What would it Take to Combat the Next Pandemic? CoRR abs/2204.02790 (2022) - [i9]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:
Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks. CoRR abs/2204.07705 (2022) - [i8]Shivani Kumar, Ishani Mondal, Md. Shad Akhtar, Tanmoy Chakraborty:
Explaining (Sarcastic) Utterances to Enhance Affect Understanding in Multimodal Dialogues. CoRR abs/2211.11049 (2022) - 2021
- [c8]Ishani Mondal:
BERTKG-DDI: Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions. SDU@AAAI 2021 - [c7]Ishani Mondal, Yufang Hou, Charles Jochim:
End-to-End Construction of NLP Knowledge Graph. ACL/IJCNLP (Findings) 2021: 1885-1895 - [c6]Ishani Mondal, Procheta Sen, Debasis Ganguly:
Multi-objective Few-shot Learning for Fair Classification. CIKM 2021: 3338-3342 - [c5]Ishani Mondal:
BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification. NAACL-HLT 2021: 5378-5384 - [i7]Ishani Mondal:
BBAEG: Towards BERT-based Biomedical Adversarial Example Generation for Text Classification. CoRR abs/2104.01782 (2021) - [i6]Ishani Mondal, Yufang Hou, Charles Jochim:
End-to-End NLP Knowledge Graph Construction. CoRR abs/2106.01167 (2021) - [i5]Ishani Mondal, Procheta Sen, Debasis Ganguly:
Multi-Objective Few-shot Learning for Fair Classification. CoRR abs/2110.01951 (2021) - 2020
- [c4]Tirthankar Dasgupta, Ishani Mondal, Abir Naskar, Lipika Dey:
Extracting Semantic Aspects for Structured Representation of Clinical Trial Eligibility Criteria. ClinicalNLP@EMNLP 2020: 243-248 - [c3]Ishani Mondal, Debasis Ganguly:
ALEX: Active Learning based Enhancement of a Classification Model's EXplainability. CIKM 2020: 3309-3312 - [c2]Ishani Mondal:
Approaches to biomedical coreference resolution. COMAD/CODS 2020: 343-344 - [i4]Ishani Mondal, Debasis Ganguly:
ALEX: Active Learning based Enhancement of a Model's Explainability. CoRR abs/2009.00859 (2020) - [i3]Ishani Mondal:
Towards Incorporating Entity-specific Knowledge Graph Information in Predicting Drug-Drug Interactions. CoRR abs/2012.11142 (2020) - [i2]Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu:
Medical Entity Linking using Triplet Network. CoRR abs/2012.11164 (2020) - [i1]Ishani Mondal:
BERTChem-DDI : Improved Drug-Drug Interaction Prediction from text using Chemical Structure Information. CoRR abs/2012.11599 (2020)
2010 – 2019
- 2019
- [c1]Sukannya Purkayastha, Ishani Mondal, Sudeshna Sarkar, Pawan Goyal, Jitesh K. Pillai:
Drug-Drug Interactions Prediction Based on Drug Embedding and Graph Auto-Encoder. BIBE 2019: 547-552
Coauthor Index
aka: Jordan Lee Boyd-Graber
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