3 citations · 5 across the 4 of their papers we have counts for
7 papers
Towards Causal Explanation Detection with Pyramid Salient-Aware Network
Xinyu Zuo, Yubo Chen, Kang Liu +1
Causal explanation analysis (CEA) can assist us to understand the reasons behind daily events, which has been found very helpful for understanding the coherence of messages. In thi…
Event Coreference Resolution via a Multi-loss Neural Network without Using Argument Information
Xinyu Zuo, Yubo Chen, Kang Liu +1
Event coreference resolution(ECR) is an important task in Natural Language Processing (NLP) and nearly all the existing approaches to this task rely on event argument information.…
Overview of the CCKS 2019 Knowledge Graph Evaluation Track: Entity, Relation, Event and QA
Xianpei Han, Zhichun Wang, Jiangtao Zhang +22
Knowledge graph models world knowledge as concepts, entities, and the relationships between them, which has been widely used in many real-world tasks. CCKS 2019 held an evaluation…
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Bei Chen, Jiaqi Guo +3
Recently semantic parsing in context has received considerable attention, which is challenging since there are complex contextual phenomena. Previous works verified their proposed…
Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss
Cao Liu, Kang Liu, Shizhu He +2
We tackle the task of question generation over knowledge bases. Conventional methods for this task neglect two crucial research issues: 1) the given predicate needs to be expressed…
Incorporating Interlocutor-Aware Context into Response Generation on Multi-Party Chatbots
Cao Liu, Kang Liu, Shizhu He +2
Conventional chatbots focus on two-party response generation, which simplifies the real dialogue scene. In this paper, we strive toward a novel task of Response Generation on Multi…