activity
20182023
most citedMulti-Task Learning with Multi-View Attention for Answer Selection and Knowledge Base Question Answering

9 citations · 31 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CL2023★ 6 cited

A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers

Xiaoyan Zhao, Yang Deng, Min Yang +6

Relation extraction (RE) involves identifying the relations between entities from underlying content. RE serves as the foundation for many natural language processing (NLP) and inf…

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.CL2019★ 4 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★ 9 cited

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…

cs.CL2018★ 4 cited

Improving Medical Short Text Classification with Semantic Expansion Using Word-Cluster Embedding

Ying Shen, Qiang Zhang, Jin Zhang +3

Automatic text classification (TC) research can be used for real-world problems such as the classification of in-patient discharge summaries and medical text reports, which is bene…

cs.CL2018★ 1 cited

MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs

Kai Lei, Kaiqi Yuan, Qiang Zhang +1

We present MedSim, a novel semantic SIMilarity method based on public well-established bio-MEDical knowledge graphs (KGs) and large-scale corpus, to study the therapeutic substitut…

cs.CL2018★ 5 cited

An enhanced computational feature selection method for medical synonym identification via bilingualism and multi-corpus training

K. Lei, S. Si, D. Wen +1

Medical synonym identification has been an important part of medical natural language processing (NLP). However, in the field of Chinese medical synonym identification, there are p…

cs.DB2018★ 2 cited

MedTruth: A Semi-supervised Approach to Discovering Knowledge Condition Information from Multi-Source Medical Data

Yang Deng, Yaliang Li, Ying Shen +4

Knowledge Graph (KG) contains entities and the relations between entities. Due to its representation ability, KG has been successfully applied to support many medical/healthcare ta…