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My main areas of interest are Artificial intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP). My current research focuses on providing an analytical framework for understanding how individuals make various decisions on social media, including spread of mis/disinformation. I am also interested in Commonsense Reasoning and Story Understanding in natural language. I work on developing NLP models to extract causal relations, explicit or implicit, in discourse. My goal is to leverage these models in enabling machines to better understand stories and find causal chains among events in a story.
Research Interests
Papers共 13 篇Author StatisticsCo-AuthorSimilar Experts
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AMERICAN POLITICAL SCIENCE REVIEW (2024)
CoRR (2022)
arXiv (Cornell University) (2021)
CoRR (2021)
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Proceedings of the 3rd NLP4IF Workshop on NLP for Internet Freedom: Censorship, Disinformation, and Propaganda (2020): 33-38
Proceedings of the Second Workshop on Natural Language Processing for Internet Freedom: Censorship, Disinformation, and Propagandapp.31-35, (2019)
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