20 citations · 78 across the 19 of their papers we have counts for
6 papers · 1 filter
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension
Xiaorui Zhou, Senlin Luo, Yunfang Wu
In reading comprehension, generating sentence-level distractors is a significant task, which requires a deep understanding of the article and question. The traditional entity-cente…
Multi-level Gated Recurrent Neural Network for Dialog Act Classification
Wei Li, Yunfang Wu
In this paper we focus on the problem of dialog act (DA) labelling. This problem has recently attracted a lot of attention as it is an important sub-part of an automatic question a…
Question-type Driven Question Generation
Wenjie Zhou, Minghua Zhang, Yunfang Wu
Question generation is a challenging task which aims to ask a question based on an answer and relevant context. The existing works suffer from the mismatching between question type…
Multi-Task Learning with Language Modeling for Question Generation
Wenjie Zhou, Minghua Zhang, Yunfang Wu
This paper explores the task of answer-aware questions generation. Based on the attention-based pointer generator model, we propose to incorporate an auxiliary task of language mod…
Coherent Comment Generation for Chinese Articles with a Graph-to-Sequence Model
Wei Li, Jingjing Xu, Yancheng He +3
Automatic article commenting is helpful in encouraging user engagement and interaction on online news platforms. However, the news documents are usually too long for traditional en…
A Simple Dual-decoder Model for Generating Response with Sentiment
Xiuyu Wu, Yunfang Wu
How to generate human like response is one of the most challenging tasks for artificial intelligence. In a real application, after reading the same post different people might writ…