activity
20152022
most citedFaithful to the Original: Fact Aware Neural Abstractive Summarization

174 citations · 420 across the 8 of their papers we have counts for

collaborators

19 papers

cs.CL20222 cited

ConFiguRe: Exploring Discourse-level Chinese Figures of Speech

Dawei Zhu, Qiusi Zhan, Zhejian Zhou +3

Figures of speech, such as metaphor and irony, are ubiquitous in literature works and colloquial conversations. This poses great challenge for natural language understanding since…

cs.CL201929 cited

Machine Reading Comprehension: a Literature Review

Xin Zhang, An Yang, Sujian Li +1

Machine reading comprehension aims to teach machines to understand a text like a human and is a new challenging direction in Artificial Intelligence. This article summarizes recent…

cs.CL2018

Chinese Discourse Segmentation Using Bilingual Discourse Commonality

Jingfeng Yang, Sujian Li

Discourse segmentation aims to segment Elementary Discourse Units (EDUs) and is a fundamental task in discourse analysis. For Chinese, previous researches identify EDUs just throug…

cs.CL2018

Toward Fast and Accurate Neural Discourse Segmentation

Yizhong Wang, Sujian Li, Jingfeng Yang

Discourse segmentation, which segments texts into Elementary Discourse Units, is a fundamental step in discourse analysis. Previous discourse segmenters rely on complicated hand-cr…

cs.CL2018

Multi-Perspective Context Aggregation for Semi-supervised Cloze-style Reading Comprehension

Liang Wang, Sujian Li, Wei Zhao +4

Cloze-style reading comprehension has been a popular task for measuring the progress of natural language understanding in recent years. In this paper, we design a novel multi-persp…

cs.CL2018

Abstractive Summarization Improved by WordNet-based Extractive Sentences

Niantao Xie, Sujian Li, Huiling Ren +1

Recently, the seq2seq abstractive summarization models have achieved good results on the CNN/Daily Mail dataset. Still, how to improve abstractive methods with extractive methods i…