Institute of Information Science Academia Sinica
Topic: TIGP (SNHCC) –Knowledge-Bases: Extraction, Inference & Applications
Speaker: Prof. Mausam (Department of Computer Science and Engineering at IIT Delhi)
Date: 2018-10-03 (Wed) 13:50 – 14:40
Location: Auditorium 106 at IIS new Building
Host: TIGP SNHCC Program

Abstract:

Intelligent information systems often harvest world knowledge in the form of information tuples, which are stored in knowledge-bases (KBs). These KBs power downstream information tasks. In this talk I will briefly describe various threads of research that interact with KBs in different ways. These include (1) extracting information to populate a KB, (2) inferring unstated information to improve the completeness of KBs and (3) using these KBs for downstream tasks such as goal-oriented dialog. In the two part talk, I will first summarize about a decade of progress on the Open Information Extraction project, and later discuss some of the more recent research on neural models for inference and dialog.


BIO:

Prof. Mausam is an associate professor at the Dept. of Computer Science in IIT-Delhi and an affiliate faculty at the University of Washington. He got his undergraduate degree from IIT-Delhi in Computer Science in 2001 and completed his PhD. work titled Stochastic Planning with Concurrent, Durative Actions from the University of Washington in 2007.

Mausam’s work focuses on large-scale information extraction and text summarization, AI & ML applications to crowdsourcing and education, automated planning under uncertainty, machine learning, and probabilistic reasoning.