activity
20192021
most citedText Level Graph Neural Network for Text Classification

12 citations · 23 across the 7 of their papers we have counts for

collaborators

14 papers

cs.CL20214 cited

BASS: Boosting Abstractive Summarization with Unified Semantic Graph

Wenhao Wu, Wei Li, Xinyan Xiao +5

Abstractive summarization for long-document or multi-document remains challenging for the Seq2Seq architecture, as Seq2Seq is not good at analyzing long-distance relations in text.…

cs.CL20211 cited

Guiding the Growth: Difficulty-Controllable Question Generation through Step-by-Step Rewriting

Yi Cheng, Siyao Li, Bang Liu +4

This paper explores the task of Difficulty-Controllable Question Generation (DCQG), which aims at generating questions with required difficulty levels. Previous research on this ta…

cs.IR2021

A Comprehensive Attempt to Research Statement Generation

Wenhao Wu, Sujian Li

For a researcher, writing a good research statement is crucial but costs a lot of time and effort. To help researchers, in this paper, we propose the research statement generation…

cs.CL2021

First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction

Lianzhe Huang, Peiyi Wang, Sujian Li +5

Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from a sentence, including target entities, associated sentiment polarities, and opinion spans which rationalize…

cs.CL2021

Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English

Xiangyang Li, Yu Xia, Xiang Long +2

In this paper, we describe our system for the AAAI 2021 shared task of COVID-19 Fake News Detection in English, where we achieved the 3rd position with the weighted F1 score of 0.9…

cs.CL2021

Unifying Discourse Resources with Dependency Framework

Yi Cheng, Sujian Li, Yueyuan Li

For text-level discourse analysis, there are various discourse schemes but relatively few labeled data, because discourse research is still immature and it is labor-intensive to an…