Publications

Peer-reviewed Conference and Journal Publications

• From Claim to Evidence: Verifying Chinese Health Claims with Medical Literature. 2024.

Chaoyuan Zuo, Yishuang Liu, Chenlu Wang, and Ritwik Banerjee

Proc. 13th CCF International Conference on Natural Language Processing and Chinese Computing (NLPCC)

doi : 10.1007/978-981-97-9440-9_14

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• Paying Attention to Deflections: Mining Pragmatic Nuances for Whataboutism Detection in Online Discourse. 2024.

Khiem Phi, Noushin Salek Faramarzi, Chenlu Wang, and Ritwik Banerjee

Findings of the Association for Computational Linguistics ACL

doi : 10.18653/v1/2024.findings-acl.750

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• Cross-genre Retrieval for Information Integrity: A COVID-19 Case Study. 2023.

Chaoyuan Zuo, Chenlu Wang, and Ritwik Banerjee

Advanced Data Mining and Applications, ADMA ’23 (Lecture Notes in Computer Science, Vol. 14180)

doi : 10.1007/978-3-031-46677-9_34

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• Context-aware Medication Event Extraction from Unstructured Text. 2023.

Noushin Salek Faramarzi, Meet Patel, Sai Harika Bandarupally, and Ritwik Banerjee

Proceedings of the 5th Clinical Natural Language Processing Workshop

doi : 10.18653/v1/2023.clinicalnlp-1.11

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• Claim Extraction and Dynamic Stance Detection in COVID-19 Tweets. 2023.

Noushin Salek Faramarzi, Fateme Hashemi Chaleshtori, Hossein Shirazi, Indrakshi Ray, and Ritwik Banerjee

WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023

doi : 10.1145/3543873.3587643

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• Seeing Should Probably not be Believing: The Role of Deceptive Support in COVID-19 Misinformation on Twitter. 2022.

Chaoyuan Zuo, Ritwik Banerjee, Fateme Hashemi Chaleshtori, Hossein Shirazi, and Indrakshi Ray

ACM Journal of Data and Information Quality, Vol. 15, No. 1, Article 9 (Dec 2022)

doi : 10.1145/3546914

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• Beyond belief: a cross-genre study on perception and validation of health information online. 2022.

Chaoyuan Zuo, Kritik Mathur, Dhruv Kela, Noushin Salek Faramarzi, and Ritwik Banerjee

International Journal of Data Science and Analytics, Vol. 13, No. 4 (Feb 2022)

doi : 10.1007/s41060-022-00310-7

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• Combining Attention-based Models with the MeSH Ontology for Semantic Textual Similarity in Clinical Notes. 2022.

Noushin Salek Faramarzi, Akanksha Dara, and Ritwik Banerjee

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI)

doi : 10.1109/ICHI54592.2022.00023

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•  vision paper  Diagnosis, Prevention, and Cure for Misinformation. 2021.

Ritwik Banerjee and Indrakshi Ray

2021 IEEE Third International Conference on Cognitive Machine Intelligence (CogMI)

doi : 10.1109/CogMI52975.2021.00028

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• An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification. 2021.

[ Video Presentation ]

Sina Mahdipour Saravani, Ritwik Banerjee, and Indrakshi Ray

Proceedings of the Second Workshop on Insights from Negative Results in NLP

doi : 10.18653/v1/2021.insights-1.15

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• An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News. 2021.

Chaoyuan Zuo, Qi Zhang, and Ritwik Banerjee

Proceedings of the Fourth Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda (NLP4IF)

doi : 10.18653/v1/2021.nlp4if-1.11

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• Querying Across Genres for Medical Claims in News. 2020.

[ Video Presentation ]

Chaoyuan Zuo, Narayan Acharya, and Ritwik Banerjee

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

doi : 10.18653/v1/2020.emnlp-main.139

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• Style Change Detection with Feed-forward Neural Networks. 2019.

Chaoyuan Zuo, Yu Zhao, and Ritwik Banerjee

Working Notes of CLEF 2019 - Conference and Labs of the Evaluation Forum (Vol. 2380)

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•  invited paper   "best of the lab" paper  To Check or not to Check: Syntax, Semantics, and Context in the Language of Check-worthy Claims. 2019.

Chaoyuan Zuo, Ayla Ida Karakas, and Ritwik Banerjee

Proceedings of the 10th International Conference of the CLEF Association (Lecture Notes in Computer Science, Vol. 11696)

doi : 10.1007/978-3-030-28577-7_23

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• A Hybrid Recognition System for Check-worthy Claims Using Heuristics and Supervised Learning. 2018.

Chaoyuan Zuo, Ayla Ida Karakas, and Ritwik Banerjee

Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum (Vol. 2125)

PDF | BibTeX | Slides

•  best technical paper  Patient-centered Identification, Attribution, and Ranking of Adverse Drug Events. 2015.

Ritwik Banerjee, I. V. Ramakrishnan, Mark C. Henry, and Matthew Perciavalle

IEEE 2015 International Conference on Healthcare Informatics (ICHI)

doi : 10.1109/ICHI.2015.8

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• Internet Outages, the Eyewitness Accounts: Analysis of the Outages Mailing List. 2015.

Ritwik Banerjee, Abbas Razaghpanah, Luis Chiang, Akassh Mishra, Vyaas Sekar, Yejin Choi, and Phillipa Gill

Proceedings of the 16th International Conference on Passive and Active Network Measurement (PAM)

doi : 10.1007/978-3-319-15509-8_16

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• Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays. 2014.

Ritwik Banerjee, Song Feng, Jun Seok Kang, and Yejin Choi

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)

doi : 10.3115/v1/D14-1155

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• Automated Suggestion of Laboratory Tests for Identifying Likelihood of Adverse Drug Events. 2014.

Ritwik Banerjee, Yejin Choi, Gaurav Piyush, Ameya Naik, and I. V. Ramakrishnan

ICHI '14: Proceedings of the 2014 IEEE International Conference on Healthcare Informatics

doi : 10.5555/2761731.2762011

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• Characterizing Stylistic Elements in Syntactic Structure. 2012.

Song Feng, Ritwik Banerjee, and Yejin Choi

Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)

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• Syntactic Stylometry for Deception Detection. 2012.

Song Feng, Ritwik Banerjee, and Yejin Choi

Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (ACL)

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Other

• Use of Natural Language Processing and Deep Learning to Analyze Kidney Ultrasound Reports and Their Correlation with CKD Diagnosis. 2024.

Farrukh M Koraishy, Chenlu Wang, Ritwik Banerjee, Harry Kuperstein, Hamza Malick, Hira Tahir, Ruqiyya Bano, Priyal Sakhuja, Janos G Hajagos

Journal of the American Society of Nephrology, Vol. 35, Issue 10S (October 2024)

doi : 10.1681/ASN.20245jpx18zf

• Clinical semantic textual similarity using Transfer Learning combining Deep and Shallow Learning Techniques. 2019.

Noushin Salek Faramarzi, Nikhil Siddhartha, Chaoyuan Zuo, and Ritwik Banerjee

2019 National NLP Clinical Challenges (n2c2)/OHNLP Workshop

Poster

• Knowledge Extraction from Diverse Biomedical Corpora with Applications in Healthcare: Bridging the Translational Gap. 2015.

Ritwik Banerjee

Ph.D. Thesis, Stony Brook University

• Development and Evaluation of Natural Language Processing Software to Produce a Summary of Inpatient Radiographic Findings Identified for Follow-Up. 2014.

Ian Whiteside, I. V. Ramakrishnan, Ritwik Banerjee, Vasudev Balasubramanian, Basava R. Kanaparthi, and Matthew A. Barish

Radiological Society of North America 2016 Scientific Assembly and Annual Meeting (RSNA)

Abstract