activity
20182022
most citedJoint Learning of Answer Selection and Answer Summary Generation in Community Question Answering

4 citations · 4 across the 2 of their papers we have counts for

collaborators

10 papers

cs.CL2022

Contrastive Learning with Hard Negative Entities for Entity Set Expansion

Yinghui Li, Yangning Li, Yuxin He +3

Entity Set Expansion (ESE) is a promising task which aims to expand entities of the target semantic class described by a small seed entity set. Various NLP and IR applications will…

cs.CL20194 cited

Joint Learning of Answer Selection and Answer Summary Generation in Community Question Answering

Yang Deng, Wai Lam, Yuexiang Xie +4

Community question answering (CQA) gains increasing popularity in both academy and industry recently. However, the redundancy and lengthiness issues of crowdsourced answers limit t…

cs.CL2018

Multi-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

Yang Deng, Yuexiang Xie, Yaliang Li +5

Answer selection and knowledge base question answering (KBQA) are two important tasks of question answering (QA) systems. Existing methods solve these two tasks separately, which r…

cs.AI2018

Constructing Ontology-Based Cancer Treatment Decision Support System with Case-Based Reasoning

Ying Shen, Joël Colloc, Armelle Jacquet-Andrieu +2

Decision support is a probabilistic and quantitative method designed for modeling problems in situations with ambiguity. Computer technology can be employed to provide clinical dec…

cs.CL2018

A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions

Kai Lei, Bing Zhang, Yong Liu +3

Named entity discovery and linking is the fundamental and core component of question answering. In Question Entity Discovery and Linking (QEDL) problem, traditional methods are cha…

cs.CL2018

Approach for Semi-automatic Construction of Anti-infective Drug Ontology Based on Entity Linking

Ying Shen, Yang Deng, Kaiqi Yuan +2

Ontology can be used for the interpretation of natural language. To construct an anti-infective drug ontology, one needs to design and deploy a methodological step to carry out the…