855 citations · 2.8k across the 100 of their papers we have counts for
8 papers · 1 filter
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
Yan Xiao, Jiafeng Guo, Yixing Fan +3
Vocabulary mismatch is a central problem in information retrieval (IR), i.e., the relevant documents may not contain the same (symbolic) terms of the query. Recently, neural repres…
A Tree Search Algorithm for Sequence Labeling
Yadi Lao, Jun Xu, Yanyan Lan +3
In this paper we propose a novel reinforcement learning based model for sequence tagging, referred to as MM-Tag. Inspired by the success and methodology of the AlphaGo Zero, MM-Tag…
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
Yixing Fan, Jiafeng Guo, Yanyan Lan +3
Assessing relevance between a query and a document is challenging in ad-hoc retrieval due to its diverse patterns, i.e., a document could be relevant to a query as a whole or parti…
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems
Liu Yang, Minghui Qiu, Chen Qu +5
Intelligent personal assistant systems with either text-based or voice-based conversational interfaces are becoming increasingly popular around the world. Retrieval-based conversat…
Unbiased Learning to Rank with Unbiased Propensity Estimation
Qingyao Ai, Keping Bi, Cheng Luo +2
Learning to rank with biased click data is a well-known challenge. A variety of methods has been explored to debias click data for learning to rank such as click models, result int…
Learning a Deep Listwise Context Model for Ranking Refinement
Qingyao Ai, Keping Bi, Jiafeng Guo +1
Learning to rank has been intensively studied and widely applied in information retrieval. Typically, a global ranking function is learned from a set of labeled data, which can ach…