238 citations · 901 across the 55 of their papers we have counts for
9 papers · 2 filters
Find a Reasonable Ending for Stories: Does Logic Relation Help the Story Cloze Test?
Mingyue Shang, Zhenxin Fu, Hongzhi Yin +3
Natural language understanding is a challenging problem that covers a wide range of tasks. While previous methods generally train each task separately, we consider combining the cr…
Abstractive Text Summarization by Incorporating Reader Comments
Shen Gao, Xiuying Chen, Piji Li +4
In neural abstractive summarization field, conventional sequence-to-sequence based models often suffer from summarizing the wrong aspect of the document with respect to the main as…
Chat More If You Like: Dynamic Cue Words Planning to Flow Longer Conversations
Lili Yao, Ruijian Xu, Chao Li +2
To build an open-domain multi-turn conversation system is one of the most interesting and challenging tasks in Artificial Intelligence. Many research efforts have been dedicated to…
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling
Ning Miao, Hao Zhou, Lili Mou +2
In real-world applications of natural language generation, there are often constraints on the target sentences in addition to fluency and naturalness requirements. Existing languag…
Plan-And-Write: Towards Better Automatic Storytelling
Lili Yao, Nanyun Peng, Ralph Weischedel +3
Automatic storytelling is challenging since it requires generating long, coherent natural language to describes a sensible sequence of events. Despite considerable efforts on autom…
Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen, Shen Gao, Chongyang Tao +3
In this paper, we introduce Iterative Text Summarization (ITS), an iteration-based model for supervised extractive text summarization, inspired by the observation that it is often…