9 citations · 31 across the 11 of their papers we have counts for
8 papers · 1 filter
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…
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…
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…
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…
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…
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…
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…
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…