most citedEnhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations

38 citations · 46 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL202138 cited

Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations

Qingkai Zeng, Jinfeng Lin, Wenhao Yu +2

Automatic construction of a taxonomy supports many applications in e-commerce, web search, and question answering. Existing taxonomy expansion or completion methods assume that new…

cs.SE20217 cited

Traceability Transformed: Generating more Accurate Links with Pre-Trained BERT Models

Jinfeng Lin, Yalin Liu, Qingkai Zeng +2

Software traceability establishes and leverages associations between diverse development artifacts. Researchers have proposed the use of deep learning trace models to link natural…

cs.CL2021

Validating Label Consistency in NER Data Annotation

Qingkai Zeng, Mengxia Yu, Wenhao Yu +2

Data annotation plays a crucial role in ensuring your named entity recognition (NER) projects are trained with the right information to learn from. Producing the most accurate labe…

cs.CL20201 cited

Crossing Variational Autoencoders for Answer Retrieval

Wenhao Yu, Lingfei Wu, Qingkai Zeng +3

Answer retrieval is to find the most aligned answer from a large set of candidates given a question. Learning vector representations of questions/answers is the key factor. Questio…

cs.CL2020

Enhancing Factual Consistency of Abstractive Summarization

Chenguang Zhu, William Hinthorn, Ruochen Xu +4

Automatic abstractive summaries are found to often distort or fabricate facts in the article. This inconsistency between summary and original text has seriously impacted its applic…