most citedMulti-turn Inference Matching Network for Natural Language Inference

10 citations · 16 across the 6 of their papers we have counts for

collaborators

6 papers

eess.AS2019

Improved Speaker-Dependent Separation for CHiME-5 Challenge

Jian Wu, Yong Xu, Shi-Xiong Zhang +4

This paper summarizes several follow-up contributions for improving our submitted NWPU speaker-dependent system for CHiME-5 challenge, which aims to solve the problem of multi-chan…

cs.CL20193 cited

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension

Kai Sun, Dian Yu, Jianshu Chen +3

We present DREAM, the first dialogue-based multiple-choice reading comprehension dataset. Collected from English-as-a-foreign-language examinations designed by human experts to eva…

cs.CL2019

Multi-Perspective Fusion Network for Commonsense Reading Comprehension

Chunhua Liu, Yan Zhao, Qingyi Si +3

Commonsense Reading Comprehension (CRC) is a significantly challenging task, aiming at choosing the right answer for the question referring to a narrative passage, which may requir…

cs.CL20191 cited

DEMN: Distilled-Exposition Enhanced Matching Network for Story Comprehension

Chunhua Liu, Haiou Zhang, Shan Jiang +1

This paper proposes a Distilled-Exposition Enhanced Matching Network (DEMN) for story-cloze test, which is still a challenging task in story comprehension. We divide a complete sto…

cs.CL201910 cited

Multi-turn Inference Matching Network for Natural Language Inference

Chunhua Liu, Shan Jiang, Hainan Yu +1

Natural Language Inference (NLI) is a fundamental and challenging task in Natural Language Processing (NLP). Most existing methods only apply one-pass inference process on a mixed…

eess.AS20182 cited

Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching

Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu +1

We consider the problem of training speech recognition systems without using any labeled data, under the assumption that the learner can only access to the input utterances and a p…