223 citations · 913 across the 85 of their papers we have counts for
10 papers · 1 filter
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…
Encoding Implicit Relation Requirements for Relation Extraction: A Joint Inference Approach
Liwei Chen, Yansong Feng, Songfang Huang +2
Relation extraction is the task of identifying predefined relationship between entities, and plays an essential role in information extraction, knowledge base construction, questio…
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…
Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection
Chongyang Tao, Wei Wu, Can Xu +3
In this paper, we study context-response matching with pre-trained contextualized representations for multi-turn response selection in retrieval-based chatbots. Existing models, su…
Marrying up Regular Expressions with Neural Networks: A Case Study for Spoken Language Understanding
Bingfeng Luo, Yansong Feng, Zheng Wang +3
The success of many natural language processing (NLP) tasks is bound by the number and quality of annotated data, but there is often a shortage of such training data. In this paper…
One "Ruler" for All Languages: Multi-Lingual Dialogue Evaluation with Adversarial Multi-Task Learning
Xiaowei Tong, Zhenxin Fu, Mingyue Shang +2
Automatic evaluating the performance of Open-domain dialogue system is a challenging problem. Recent work in neural network-based metrics has shown promising opportunities for auto…
Time Constrained Continuous Subgraph Search over Streaming Graphs
Youhuan Li, Lei Zou, M. Tamer Ozsu +1
The growing popularity of dynamic applications such as social networks provides a promising way to detect valuable information in real time. Efficient analysis over high-speed data…