Somin Wadhwa
(He/him/his)
PhD Student
Labs and groups
Research interests
- Natural language processing and information retrieval
- Data science
- Machine learning
- Human–computer interaction
Education
- MS in Computer Science, University of Massachusetts Amherst
- B.Tech in Computer Science and Engineering, G.G.S Indraprastha University — India
Biography
Somin Wadhwa is a doctoral student at the Khoury College of Computer Sciences at Northeastern University, advised by Byron Wallace and Silvio Amir. His doctoral research, which he began in 2021 and expects to complete in 2025, focuses on natural language processing.
Wadhwa combines methods from natural language processing and information extraction to enable effective data analysis and communication, with the goal of understanding and communicating vast amounts of complex data encoded in text. He is especially interested in data from biomedical literature and the digital civics domain. He is affiliated with the Northeastern Natural Language Processing Research Group.
Recent publications
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Learning from Natural Language Explanations for Generalizable Entity Matching
Citation: Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Luyang Kong. (2024). Learning from Natural Language Explanations for Generalizable Entity Matching EMNLP, 6114-6129. https://aclanthology.org/2024.emnlp-main.352 -
Towards System-Initiative Conversational Information Seeking
Citation: Wadhwa, S., & Zamani, H. (2021). \href http://desires.dei.unipd.it/papers/paper-17.pdf.pdf Towards System-Initiative Conversational Information Seeking. In Conference on Design of Experimental Search & Information REtrieval Systems (DESIRES). -
CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity
Citation: Mahmood Jasim, Pooya Khaloo, Somin Wadhwa, Amy X. Zhang, Ali Sarvghad, and Narges Mahyar. 2021. CommunityClick: Capturing and Reporting Community Feedback from Town Halls to Improve Inclusivity. Proc. ACM Hum.-Comput. Interact. 4, CSCW3, Article 213 (December 2020), 32 pages. DOI:https://doi.org/10.1145/3432912 -
Semi-Automating Knowledge Base Construction for Cancer Genetics
Citation: Wadhwa, S., Yin, K., Hughes, K. S., & Wallace, B. (2020). Semi-Automating Knowledge Base Construction for Cancer Genetics. Automated Knowledge Base Construction. doi:10.24432/C5RG6T