activity
20172022
most citedMulti-level Gated Recurrent Neural Network for Dialog Act Classification

12 citations · 47 across the 11 of their papers we have counts for

collaborators

17 papers

cs.CL2022

From Spelling to Grammar: A New Framework for Chinese Grammatical Error Correction

Xiuyu Wu, Yunfang Wu

Chinese Grammatical Error Correction (CGEC) aims to generate a correct sentence from an erroneous sequence, where different kinds of errors are mixed. This paper divides the CGEC t…

cs.CL2021

Alleviating the Knowledge-Language Inconsistency: A Study for Deep Commonsense Knowledge

Yi Zhang, Lei Li, Yunfang Wu +2

Knowledge facts are typically represented by relational triples, while we observe that some commonsense facts are represented by the triples whose forms are inconsistent with the e…

cs.CL20206 cited

EQG-RACE: Examination-Type Question Generation

Xin Jia, Wenjie Zhou, Xu Sun +1

Question Generation (QG) is an essential component of the automatic intelligent tutoring systems, which aims to generate high-quality questions for facilitating the reading practic…

cs.CL2020

Knowledge-Aware Procedural Text Understanding with Multi-Stage Training

Zhihan Zhang, Xiubo Geng, Tao Qin +2

Procedural text describes dynamic state changes during a step-by-step natural process (e.g., photosynthesis). In this work, we focus on the task of procedural text understanding, w…

cs.CL2020

A Question Type Driven and Copy Loss Enhanced Frameworkfor Answer-Agnostic Neural Question Generation

Xiuyu Wu, Nan Jiang, Yunfang Wu

The answer-agnostic question generation is a significant and challenging task, which aims to automatically generate questions for a given sentence but without an answer. In this pa…

cs.CL20207 cited

Jointly Modeling Aspect and Sentiment with Dynamic Heterogeneous Graph Neural Networks

Shu Liu, Wei Li, Yunfang Wu +2

Target-Based Sentiment Analysis aims to detect the opinion aspects (aspect extraction) and the sentiment polarities (sentiment detection) towards them. Both the previous pipeline a…