Time: Tuesday, March 5, 2019 - 11:00am to 12:00pm. Location: GVU Cafe, TSRB. These days, benchmarks evolve more bottom up (such as papers with code). Her research focuses on natural language processing, specifically applying machine learning to recover semantics from text. 1. Sort. She completed a B.A. Together, these advances significantly expand the scope of information that can be incorporated into the next generation of machine reading systems. Her research focuses on natural language processing, specifically applying machine learning to recover semantics from text. I build machine learning models and datasets to help computers understand human language. Painting at a Loss, Catalog. in Computer Science and Mathematics at Cornell University, and is a recipient of the Facebook fellowship. and actual trivia whizzes taking on QA systems (and their take on QA research). 10829 Berlin. Summary Sentence: Eunsol Choi provides a talk on her research in natural language procession. Guest lecture in Eunsol Choi’s Topics in NLP class at UT Austin on Biases and Interpretability. How should we present answers? Recently, I have focused on extracting and querying information from unstructured text and knowledgebases. Full Summary: No summary paragraph submitted. Speaker: Eunsol Choi, University of Washington Talk Title: Learning to Understand Entities In Text Series: CS Colloquium Abstract: Real world entities such as people, organizations and countries play a critical role in text. Eunsol Choi. In EMNLP. Nov 2, 2020: Was delighted to be an invited speaker for Responsible AI at the Microsoft E+D Product Leaders Conference. My research area is natural language processing. Daniel Hopkins, SSRN 2013: " there is no evidence that groups targeted by specific frames [such as "death panels" in the health care debates] respond accordingly." Before UT-Austin, I spent a year at Google AI in NYC as a visiting faculty researcher. Oct 4, 2019: Giving a talk at Harvard on Multilingual Multimodal Digital Deception Detection and Spread across Social Platforms July 2019: ... Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova and Yejin Choi In Proc. Reading offers rich explicit and implicit information about these entities, such as the categories they belong to, relationships they have with other entities, and events they participate in. Advisors: Luke Zettlemoyer & Yejin Choi. Title: Learning to Understand Entities In Text. When: 11 a.m. March 5. Where: GVU Café, TSRB. Her research focuses on natural language processing, specifically applying machine learning to recover semantics from text. QuAC: Question answering in context. Recent … University of Texas at Austin. Abstract: Real world entities such as people, organizations and countries play a critical role in text. Where: GVU Café, TSRB. Where: GVU Café, TSRB. 2019. We expand the scope of information that can be learned from text for a range of tasks, including sentiment extraction, entity typing and question answering. Eunsol Choi (image/png) When: 11 a.m. March 5. Abstract: Real world entities such as people, organizations and countries play a critical role in text. Question answering: How can we build efficient and robust methods for question answering? Sort by citations Sort by year Sort by title. Abstract: Real world entities such as people, organizations and countries play a critical role in text. 2. Photo Credit. Title: Learning to Understand Entities In Text. https://risingstars2017.stanford.edu/organizing-committee/eunsol-choi Time: Tuesday, March 5, 2019 - 11:00am to 12:00pm. A3GP6RPSCKJKW9 MTurk Search Contact Requester. Prior to that, I was a Ph.D. student at UW, advised by Luke Zettlemoyer and Yejin Choi. Biography Lillian Lee is a professor of computer science and of information science at Cornell University, and the co-Editor-in-Chief, together with Michael Collins, of Transactions of the ACL.