Refereed Conference Proceedings
Fateme Hashemi Chaleshtori, Noushin Salek Faramarzi, Hossein Shirazi, Indrakshi Ray, and Ritwik Banerjee. 2023. Claim Extraction and Dynamic Stance Detection in COVID-19 Tweets. To appear in SocialNLP @ TheWebConf .
Noushin Salek Faramarzi, Akanksha Dara, and Ritwik Banerjee. 2022. Combining Attention-based Models with the MeSH Ontology for Semantic Textual Similarity in Clinical Notes. In IEEE 10th Int. Conf. on Healthcare Informatics (ICHI), IEEE, Rochester, MN, USA, pp. 74-83. [ acceptance: 30% ]
Ritwik Banerjee and Indrakshi Ray. 2021. Diagnosis, Prevention, and Cure for Misinformation. In 3rd Int. Conf. on Cognitive Machine Intelligence (CogMI). IEEE, Atlanta, GA, USA, 156-162.
Sina Mahdipour Saravani, Ritwik Banerjee, and Indrakshi Ray. 2021. An Investigation into the Contribution of Locally Aggregated Descriptors to Figurative Language Identification. In Proc. 2nd Workshop on Insights from Negative Results in NLP. Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 103-109.
Chaoyuan Zuo, Qi Zhang, and Ritwik Banerjee. 2021. An Empirical Assessment of the Qualitative Aspects of Misinformation in Health News. In Proc. 4th Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda (NLP4IF). Association for Computational Linguistics, Online, 76-81.
Chaoyuan Zuo, Narayan Acharya, and Ritwik Banerjee. 2020. Querying Across Genres for Medical Claims in News. In Proc. 2020 Conf. on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Online, 1783–1789. [ acceptance: 22.4% ]
Chaoyuan Zuo, Yu Zhao, and Ritwik Banerjee. 2019. Style Change Detection with Feed-forward Neural Networks. In Working Notes of CLEF 2019 - Conf. and Labs of the Evaluation Forum (Vol. 2380), Linda Cappellato, Nicola Ferro, David E. Losada, and Henning Müller (Eds.). Central Europe (CEUR) Workshop Proc.
Chaoyuan Zuo, Ayla Karakas, and Ritwik Banerjee. 2019. To Check or not to Check: Syntax, Semantics, and Context in the Language of Check-worthy Claims. In Experimental IR Meets Multilinguality, Multimodality, and Interaction - Proc. 10th Int. Conf. of the CLEF Association (Lecture Notes in Computer Science, Vol. 11696), Fabio Crestani, Martin Braschler, Jacques Savoy, Andreas Rauber, Henning Müller, David E. Losada, Gundula H. Bürki, Linda Cappellato, and Nicola Ferro (Eds.). Springer International Publishing, Lugano, Switzerland, 271-283. DOI: 10.1007/978-3-030-28577-7_23
Invited Paper to "Best of the Labs" Track
Chaoyuan Zuo, Ayla Karakas, and Ritwik Banerjee. 2018. A Hybrid Recognition System for Check-worthy Claims Using Heuristics and Supervised Learning. In Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum (Vol. 2125), Linda Cappellato, Nicola Ferro, Jian-Yun Nie, and Laure Soulier (Eds.). Central Europe (CEUR) Workshop Proc.
Ritwik Banerjee, I. V. Ramakrishnan, Mark C. Henry, and Matthew Perciavalle. 2015. Patient-centered Identification, Attribution, and Ranking of Adverse Drug Events. In 2015 IEEE Int. Conf. on Healthcare Informatics. IEEE, Dallas, TX, USA, 18-27. DOI: 10.1109/ICHI.2015.8 [ acceptance: 28% ]
Best Technical Paper Award
Ritwik Banerjee, Abbas Razaghpanah, Luis Chiang, Akassh Mishra, Vyaas Sekar, Yejin Choi, and Phillipa Gill. 2015. Internet Outages, the Eyewitness Accounts: Analysis of the Outages Mailing List. In Proc. 16th Int. Conf. on Passive and Active Network Measurement, PAM 2015 (Lecture Notes in Computer Science, Vol. 8995), Jelena Mirkovich, Yong Liu (Eds.). Springer, Cham, 206-217. DOI: 10.1007/978-3-319-15509-8_16 [ acceptance: 27% ]
Ritwik Banerjee, Song Feng, Jun S. Kang, and Yejin Choi. 2014. Keystroke Patterns as Prosody in Digital Writings: A Case Study with Deceptive Reviews and Essays. In Proc. 2014 Conf. on Empirical Methods in Natural Language Processing. Doha, Qatar. Association for Computational Linguistics, 1469-1473. [ acceptance: 28% ]
Ritwik Banerjee, Yejin Choi, Gaurav Piyush, Ameya Naik, and I. V. Ramakrishnan. 2014. Automated Suggestion of Laboratory Tests for Identifying Likelihood of Adverse Drug Events. In Proc. 2014 IEEE Int. Conf. on Healthcare Informatics (ICHI '14). Verona, Italy, IEEE Computer Society, 170-175. [ acceptance: 28% ]
Song Feng, Ritwik Banerjee, and Yejin Choi. 2012. Characterizing Stylistic Elements in Syntactic Structure. In Proc. of the 2012 Joint Conf. on Empirical Methods in Natural Language Processing and Computational Natural Language Learning. Jeju, Korea. Association for Computational Linguistics, 1522-1533. [ acceptance: 24% ]
Song Feng, Ritwik Banerjee, and Yejin Choi. 2012. Syntactic Stylometry for Deception Detection. In Proc. 50th Annu. Meeting of the Association for Computation Linguistics: Short Papers - Vol. 2. Jeju, Korea. Association for Computational Linguistics, 171-175. [ acceptance rate: 20% ]
Chaoyuan Zuo, Ritwik Banerjee, Hossein Shirazi, Fateme Hashemi Chaleshtori, and Indrakshi Ray. 2022. Seeing Should Probably not be Believing: The Role of Deceptive Support in COVID-19 Misinformation on Twitter. In J. Data and Information Quality (accepted May 2022). DOI: 10.1145/3546914
Chaoyuan Zuo, Kritik Mathur, Dhruv Kela, Noushin Salek Faramarzi, and Ritwik Banerjee. 2022. Beyond belief: a cross-genre study on perception and validation of health information online. In Int. J. Data Sci. Anal., 13, 299-314. DOI: 10.1007/s41060-022-00310-7
Ian Whiteside, I. V. Ramakrishnan, Ritwik Banerjee, Vasudev Balasubramanian, Basava R. Kanaparthi, and Matthew A. Barish. 2016. Development and Evaluation of Natural Language Processing Software to Produce a Summary of Inpatient Radiographic Findings Identified for Follow-Up (abstract). In Radiological Society of North America 2016 Scientific Assembly and Annual Meeting (RSNA).
Ritwik Banerjee. 2015. Knowledge Extraction from Diverse Biomedical Corpora with Applications in Healthcare: Bridging the Translational Gap. Ph.D. Dissertation. Stony Brook University, Stony Brook, New York, USA. URI: http://hdl.handle.net/11401/77269