188体育app官网_188体育投注

中国计算机学会青年计算机科技论坛

CCF Young Computer Scientists & Engineers Forum

CCF YOCSEF武汉

于

2015年8月4日

在华中科技大学计算机学院会议室南一楼433举行

学术报告会，敬请光临

报告会主题

信息检索与问答系统

Information Search and Question Answering

程  序

8月4日  9:40        签到

8月4日  10:00      报告会开始

特邀讲者：Professor Xifeng Yan, University of California at Santa Barbara, USA

演讲题目：Network Centric Information Search and Question Answering

执行主席：李瑞轩 华中科技大学计算机学院 YOCSEF武汉荣誉委

 顾进广 武汉科技大学计算机学院 YOCSEF武汉主席

参加人员：计算机领域研究者、研究生、媒体、其他有兴趣者

报名方式：Email：kmwen@hust.edu.cn (文坤梅)

Network Centric Information Search and Question Answering

Professor Xifeng Yan

University of California at Santa Barbara, USA

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

Biography: 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.