Talk to explore power of taxonomy and embedding in text mining | Penn State University – Penn State News

Jiawei Han, Michael Aiken Chair Professor in the Department of Computer Science at University of Illinois at Urbana-Champaign.

UNIVERSITY PARK, Pa. Jiawei Han, Michael Aiken Chair Professor in the Department of Computer Science at University of Illinois at Urbana-Champaign, will present a talk as part of the Penn State Center for Socially Responsible Artificial Intelligence Distinguished Lecture Series at 11:30 a.m. on June 14 via Zoom. In the talk, Han will discuss his work to explore the power of taxonomy and embedding in text mining.

This lecture is free and open to the Penn State community. Find the Zoom link for Hans talk and learn more about the CSRAI Distinguished Lecture Series at ai.psu.edu/distinguished-lecture.

About the talk

Real-world big data are largely dynamic, interconnected and unstructured text. It is highly desirable to transform such massive unstructured data into structured knowledge. Many researchers rely on labor-intensive labeling and curation to extract knowledge from text data. Such approaches, unfortunately, may not be scalable, especially when such texts are domain-specific and nonstandard (such as social media). Han and his team envision that massive text data itself may disclose a large body of hidden structures and knowledge. Equipped with domain-independent and domain-dependent knowledge-bases, researchers can explore the power of massive data to transform unstructured data into structured knowledge. In this talk, Han will introduce a set of methods developed recently in his group for such an exploration, including joint spherical text embedding, discriminative topic mining, taxonomy construction, and taxonomy-guided knowledge mining. They show that a data-driven approach could be promising at transforming massive text data into structured knowledge.

About Jiawei Han

Han is the Michael Aiken Chair Professor in the Department of Computer Science, University of Illinois at Urbana-Champaign. He received the ACM SIGKDD Innovation Award (2004), IEEE Computer Society Technical Achievement Award (2005), IEEE Computer Society W. Wallace McDowell Award (2009), and Japan's Funai Achievement Award (2018). He is a Fellow of ACM and Fellow of IEEE and served as the director of the Information Network Academic Research Center (2009-2016) supported by the Network Science-Collaborative Technology Alliance program of the U.S. Army Research Lab, and co-director of KnowEnG, a Center of Excellence in Big Data Computing (2014-2019), funded by the NIH Big Data to Knowledge Initiative.

About the CSRAI Distinguished Lecture Series

The Penn State Center for Socially Responsible Artificial Intelligence Distinguished Lecture Series highlights world-renowned scholars of repute who have made fundamental contributions to the advancement of socially responsible artificial intelligence. The series aims to provoke attendees and participants to have thoughtful conversations and to facilitate discussion among students, faculty and industry affiliates of the center.

Last Updated June 08, 2021

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Talk to explore power of taxonomy and embedding in text mining | Penn State University - Penn State News

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