activity
20172022
most citedSememe Prediction: Learning Semantic Knowledge from Unstructured Textual Wiki Descriptions

20 citations · 78 across the 19 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CL2020★ 6 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★ 3 cited

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.CL2020★ 7 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…

cs.CL2020★ 1 cited

Query-Variant Advertisement Text Generation with Association Knowledge

Siyu Duan, Wei Li, Cai Jing +3

Online advertising is an important revenue source for many IT companies. In the search advertising scenario, advertisement text that meets the need of the search query would be mor…