Graduate Teaching Assistant
Joined department: Fall 2022
I’m a PhD student in the Department of Computer Science at Purdue University, advised by Professor Dan Goldwasser. I’m broadly interested in natural language processing and information retrieval.
My long-term research goal is to develop NLP methods that would enable systems for facilitating more engaged exchanges and comprehensive presentations of opinions over the Internet: I believe that such systems could assist us in building more equitable societies by encouraging deliberative conversations across diverse social groups. Moreover, they would provide various stakeholders with more accurate snapshots of relevant opinion landscapes, leading to more sound understanding and better decision-making.
On this front, my recent research efforts have focused on leveraging deep learning to reliably capture semantics and pragmatics from the texts of subjective nature: not only inherently opinionated documents such as social media or online shopping reviews, but also the ones possessing potentially more subtle, complex subjectivity such as academic papers.
Before Purdue, I received an MS in Computer Science from the Manning College of Information and Computer Sciences at the University of Massachusetts Amherst. During my time at UMass, I worked as a researcher in Professor Andrew McCallum’s Information Extraction and Synthesis Laboratory (IESL).
A while back, I completed an MSc in Operational Research from The London School of Economics and Political Science, where my dissertation advisor was Professor László A. Végh. I graduated with a BA in Computer Science and Business from Brandeis University.
Ronald Seoh, Ian Birle, Mrinal Tak, Haw-Shiuan Chang, Brian Pinette, and Alfred Hough. 2021. Open Aspect Target Sentiment Classification with Natural Language Prompts. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 6311???6322, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.