733 citations · 3.1k across the 122 of their papers we have counts for
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Exploiting Contextual Information via Dynamic Memory Network for Event Detection
Shaobo Liu, Rui Cheng, Xiaoming Yu +1
The task of event detection involves identifying and categorizing event triggers. Contextual information has been shown effective on the task. However, existing methods which utili…
Relative Importance Sampling for off-Policy Actor-Critic in Deep Reinforcement Learning
Mahammad Humayoo, Gengzhong Zheng, Xiaoqing Dong +7
Off-policy learning exhibits greater instability when compared to on-policy learning in reinforcement learning (RL). The difference in probability distribution between the target p…
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…
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server
Guoxin Cui, Jun Xu, Wei Zeng +3
One of the most significant bottleneck in training large scale machine learning models on parameter server (PS) is the communication overhead, because it needs to frequently exchan…