美国加州大学圣芭芭拉分校严锡峰副教授讲座通知
应计算机学院智能与分布计算实验室邀请，美国加州大学圣芭芭拉分校严锡峰副教授将于2015年8月4日（周二）上午10：00来计算机学院举行学术报告，欢迎广大师生参加。
讲座题目：Network Centric Information Search and Question Answering
讲座时间：2015年8月4日（周二）上午10：00开始
讲座地点：计算机学院会议室（南1楼433室）
演讲者：
严锡峰（Xifeng Yan）
Associate Professor
Venkatesh Narayanamurti Chair
Computer Science Department
University of California at Santa Barbara
Talk Title:
Network Centric Information Search and Question Answering
Speaker: Xifeng Yan
Abstract:
The paradigm of information search is undergoing a significant transformation due to the rise of mobile devices. Unlike traditional search engines retrieving numerous webpages, techniques that can directly answer user questions and help users navigate the answer space are becoming more desired.
In this talk, we will present three novel frameworks: (i) Schema-less knowledge graph querying. This framework directly searches knowledge bases to answer user queries. It successfully deals with the challenge that answers to user queries could not be simply retrieved by exact keyword and graph matching, due to different information representations. (ii) Combining knowledge bases with text repositories. We recognized that knowledge bases are usually far from complete and information required to answer questions may not always exist in knowledge bases. This framework mines answers directly from large-scale text repositories, and meanwhile employs knowledge bases as a significant auxiliary to boost question answering performance. (iii) Leveraging user relevance feedback (human-in-the-loop). We propose a general graph relevance feedback framework that is able to tune the original ranking function based on user feedback and further enrich the query itself by mining new features from user feedback. In the end of our talk, we will brief our new progress in problem solving using human networks.
System Demo Video is available at: http://www.cs.ucsb.edu/~xyan/inarc/slq_demo_v4.mp4
Short Bio:
Xifeng Yan is an associate professor at the University of California, Santa Barbara. He holds the Venkatesh Narayanamurti Chair of Computer Science. He has been working on modeling, managing, and mining graphs in information networks, computer systems, social media and bioinformatics. He received NSF CAREER Award, IBM Invention Achievement Award, ACM-SIGMOD Dissertation Runner-Up Award, and IEEE ICDM 10-year Highest Impact Paper Award. He received his Ph.D. from the University of Illinois at Urbana-Champaign in 2006 and was a research staff member at the IBM T. J. Watson Research Center between 2006 and 2008.
