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20202026
most citedCOVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation

107 citations · 303 across the 13 of their papers we have counts for

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Showing cs.CLShow all

5 papers · 1 filter

cs.CL2022★ 31 cited

TaxoEnrich: Self-Supervised Taxonomy Completion via Structure-Semantic Representations

Minhao Jiang, Xiangchen Song, Jieyu Zhang +1

Taxonomies are fundamental to many real-world applications in various domains, serving as structural representations of knowledge. To deal with the increasing volume of new concept…

cs.CL2021★ 5 cited

Who Should Go First? A Self-Supervised Concept Sorting Model for Improving Taxonomy Expansion

Xiangchen Song, Jiaming Shen, Jieyu Zhang +1

Taxonomies have been widely used in various machine learning and text mining systems to organize knowledge and facilitate downstream tasks. One critical challenge is that, as data…

cs.CL2021★ 2 cited

Taxonomy Completion via Triplet Matching Network

Jieyu Zhang, Xiangchen Song, Ying Zeng +4

Automatically constructing taxonomy finds many applications in e-commerce and web search. One critical challenge is as data and business scope grow in real applications, new concep…

cs.CL2020★ 107 cited

COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation

Qingyun Wang, Manling Li, Xuan Wang +24

To combat COVID-19, both clinicians and scientists need to digest vast amounts of relevant biomedical knowledge in scientific literature to understand the disease mechanism and rel…

cs.CL2020★ 38 cited

Comprehensive Named Entity Recognition on CORD-19 with Distant or Weak Supervision

Xuan Wang, Xiangchen Song, Bangzheng Li +2

We created this CORD-NER dataset with comprehensive named entity recognition (NER) on the COVID-19 Open Research Dataset Challenge (CORD-19) corpus (2020-03-13). This CORD-NER data…