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20152025
most citedEnhanced LSTM for Natural Language Inference

1.2k citations

Showing 2019Show all

8 papers · 1 filter

cs.CL2019★ 17 cited

Discriminative Sentence Modeling for Story Ending Prediction

Yiming Cui, Wanxiang Che, Wei-Nan Zhang +3

Story Ending Prediction is a task that needs to select an appropriate ending for the given story, which requires the machine to understand the story and sometimes needs commonsense…

eess.AS2019★ 11 cited

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

Xin Wang, Junichi Yamagishi, Massimiliano Todisco +37

Automatic speaker verification (ASV) is one of the most natural and convenient means of biometric person recognition. Unfortunately, just like all other biometric systems, ASV is v…

cs.CL2019★ 46 cited

Cross-Lingual Machine Reading Comprehension

Yiming Cui, Wanxiang Che, Ting Liu +3

Though the community has made great progress on Machine Reading Comprehension (MRC) task, most of the previous works are solving English-based MRC problems, and there are few effor…

cs.MA2019★ 11 cited

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control

Yanan Wang, Tong Xu, Xin Niu +3

The development of intelligent traffic light control systems is essential for smart transportation management. While some efforts have been made to optimize the use of individual t…

cs.LG2019★ 2 cited

Neural Cognitive Diagnosis for Intelligent Education Systems

Fei Wang, Qi Liu, Enhong Chen +5

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts. Existing approaches us…

cs.CL2019★ 1.2k cited

Pre-Training with Whole Word Masking for Chinese BERT

Yiming Cui, Wanxiang Che, Ting Liu +2

Bidirectional Encoder Representations from Transformers (BERT) has shown marvelous improvements across various NLP tasks, and its consecutive variants have been proposed to further…

cs.AI2019★ 83 cited

Enhancing Item Response Theory for Cognitive Diagnosis

Song Cheng, Qi Liu

Cognitive diagnosis is a fundamental and crucial task in many educational applications, e.g., computer adaptive test and cognitive assignments. Item Response Theory (IRT) is a clas…

cs.CL2019★ 10 cited

Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots

Jia-Chen Gu, Zhen-Hua Ling, Quan Liu

In this paper, we propose an interactive matching network (IMN) for the multi-turn response selection task. First, IMN constructs word representations from three aspects to address…