Event Extraction as Multi-turn Question Answering

no code implementations • Findings of the Association for Computational Linguistics 2020 • Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, Yajuan Lyu, Yong Zhu

Most traditional approaches formulate this task as classification problems, with event types or argument roles taken as golden labels.

Event Extraction Question Answering +2

Generating Pertinent and Diversified Comments with Topic-aware Pointer-Generator Networks

no code implementations • 9 May 2020 • Junheng Huang, Lu Pan, Kang Xu, Weihua Peng, Fayuan Li

In this paper, we propose a novel generation model based on Topic-aware Pointer-Generator Networks (TPGN), which can utilize the topic information hidden in the articles to guide the generation of pertinent and diversified comments.

Comment Generation Text Generation

Neural Data-to-Text Generation with Dynamic Content Planning

no code implementations • 16 Apr 2020 • Kai Chen, Fayuan Li, Baotian Hu, Weihua Peng, Qingcai Chen, Hong Yu

We further design a reconstruction mechanism with a novel objective function that can reconstruct the whole entry of the used data sequentially from the hidden states of the decoder, which aids the accuracy of the generated text.

Data-to-Text Generation