主讲人： Jian-Yun Nie University of Montreal, Canada时间： 2012 年 10 月 22 日（周一）上午 10:00地点： 张江校区计算机楼 305 会议室联系人：黄萱菁 xjhuang@fudan.edu.cnAbstract:The effectiveness of information retrieval (IR) is strongly dependent on how the user query is processed. Traditional IR approaches based on keywords are deficient to account for the structure of the query and the relationships between different expressions. We argue that a better query understanding can be achieved only when these two problems are taken into account. In this talk, we will describe some attempts made in our lab on these problems. Our experiments show that these approaches usually lead to improved retrieval effectiveness.Biography:Jian-Yun Nie is a professor in University of Montreal. He has been working in the area of IR and NLP for more than 25 years. He has worked on a range of topics such as IR models, cross-language IR, IR using query logs, and so on, and has published more than 150 papers in journals and conferences. He is on board of 7 journals in the areas of IR and NLP, and is a PC member of many conferences. He is a general chair of the SIGIR 2011 conference in Beijing.
