activity
20172021
most citedUncovering Insurance Fraud Conspiracy with Network Learning

49 citations · 109 across the 12 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2020

Interactive Question Clarification in Dialogue via Reinforcement Learning

Xiang Hu, Zujie Wen, Yafang Wang +2

Coping with ambiguous questions has been a perennial problem in real-world dialogue systems. Although clarification by asking questions is a common form of human interaction, it is…

cs.CL20205 cited

LRC-BERT: Latent-representation Contrastive Knowledge Distillation for Natural Language Understanding

Hao Fu, Shaojun Zhou, Qihong Yang +4

The pre-training models such as BERT have achieved great results in various natural language processing problems. However, a large number of parameters need significant amounts of…

cs.CL2020

Local Contextual Attention with Hierarchical Structure for Dialogue Act Recognition

Zhigang Dai, Jinhua Fu, Qile Zhu +3

Dialogue act recognition is a fundamental task for an intelligent dialogue system. Previous work models the whole dialog to predict dialog acts, which may bring the noise from unre…

cs.CL2018

Review Helpfulness Prediction with Embedding-Gated CNN

Cen Chen, Minghui Qiu, Yinfei Yang +4

Product reviews, in the form of texts dominantly, significantly help consumers finalize their purchasing decisions. Thus, it is important for e-commerce companies to predict review…

cs.CL201723 cited

Small-footprint Keyword Spotting Using Deep Neural Network and Connectionist Temporal Classifier

Zhiming Wang, Xiaolong Li, Jun Zhou

Mainly for the sake of solving the lack of keyword-specific data, we propose one Keyword Spotting (KWS) system using Deep Neural Network (DNN) and Connectionist Temporal Classifier…