報告題目：From Search Engine to Answer Engine

時間：2016.04.19（星期二）上午10:00-11:30

地點：北京大學計算機研究所106報告廳（中關村北大街128號，中關新園路口向南30米）

報告摘要：Question-answering aims to provide the direct answers to users’ questions, instead of a list of documents that may contain the answers. In recent years, search engines have been transforming themselves into answer engines, by responding to increasingly larger proportions of users' queries (e.g., "when is the next world cup" and "fastest bird") with direct answers ("2018 and "peregrine falcon", respectively).  In this talk, I will give an overview of the approaches to question answering, and discuss the natural language processing and machine learning challenges in answer engines.

講者介紹：Dekang Lin is a co-founder of Singulariti, a Beijing-based startup for mobile search and assistant. He was a Senior Staff Research Scientist at Google from 2004 to 2016, where he led a team of researchers and engineers to build a question-answerer in Google search.

Before joining Google, Dekang Lin was a full professor of Computer Science at University of Alberta.  He authored 90 papers with over 12000 citations. He was elected as Fellow of Association for Computational Linguistics (ACL) in 2012 and served as the program co-chair and general chair for ACL-2002 and ACL-2011 respectively. 。