TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation-Reference-Cited by-同舟云学术

TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation

Author:

Seo Jaejin¹^ORCID,Lee Sangwon¹^ORCID,Liu Ling²^ORCID,Choi Wonik¹^ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea

2. College of Computing, Georgia Institute of Technology, Atlanta, GA, USA

Funder

Korea Agency for Infrastructure Technology Advancement (KAIA) Grant funded through the Ministry of Land, Infrastructure and Transport

Institute of Information & Communications Technology Planning & Evaluation (IITP) Grant funded by the Korea Government (MSIT)

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Reference44 articles.

3. SEM 2013 shared task: Semantic textual similarity;agirre;Proc 2nd Joint Conf Lexical Comput Semantics (SEM),2013

4. Semeval-2012 task 6: A pilot on semantic textual similarity;agirre;Proc 1st Joint Conf Lexical Comput Semantics,2012

5. Mixout: Effective regularization to finetune large-scale pretrained language models;lee;arXiv 1909 11299,2019

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

2. TamilCogniBERT: Enhancing Tamil Language Comprehension using Self Learning;2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS);2024-04-18