A Flexible and Sentiment-Aware Framework for Entity Search

As a sub-field of information retrieval, entity search which answers users’ queries by entities, is very useful across various vertical domains. In this paper we propose a flexible and sentiment-aware framework for entity search. Our approach achieved the average MAP score of 0.7044 in the competition of NLPCC Baidu Challenge 2016, obtained the 3rd place among 174 teams.