activity
20162023
most citedSimple and Deep Graph Convolutional Networks

402 citations · 753 across the 42 of their papers we have counts for

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Showing 2018Show all

6 papers · 1 filter

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.CL2018

Joint Slot Filling and Intent Detection via Capsule Neural Networks

Chenwei Zhang, Yaliang Li, Nan Du +2

Being able to recognize words as slots and detect the intent of an utterance has been a keen issue in natural language understanding. The existing works either treat slot filling a…

cs.AI2018

On the Generation of Medical Question-Answer Pairs

Sheng Shen, Yaliang Li, Nan Du +7

Question answering (QA) has achieved promising progress recently. However, answering a question in real-world scenarios like the medical domain is still challenging, due to the req…

cs.AI2018

Finding Similar Medical Questions from Question Answering Websites

Yaliang Li, Liuyi Yao, Nan Du +5

The past few years have witnessed the flourishing of crowdsourced medical question answering (Q&A) websites. Patients who have medical information demands tend to post questions ab…

cs.CR2018

Towards Differentially Private Truth Discovery for Crowd Sensing Systems

Yaliang Li, Houping Xiao, Zhan Qin +5

Nowadays, crowd sensing becomes increasingly more popular due to the ubiquitous usage of mobile devices. However, the quality of such human-generated sensory data varies significan…

cs.DB2018

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…