STMAP: A novel semantic text matching model augmented with embedding perturbations-Reference-Cited by-同舟云学术

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STMAP: A novel semantic text matching model augmented with embedding perturbations

Published:2024-01 Issue:1 Volume:61 Page:103576
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Wang Yanhao,Zhang Baohua^ORCID,Liu Weikang,Cai Jiahao,Zhang Huaping^ORCID

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference57 articles.

1. Improving pre-trained transformers with syntax trees;Bai,2021

2. Freebase: a collaboratively created graph database for structuring human knowledge;Bollacker,2008

3. Language models are few-shot learners;Brown;Advances in Neural Information Processing Systems,2020

4. Neural graph matching networks for Chinese short text matching;Chen,2020

5. Enhanced LSTM for natural language inference;Chen,2017

Cited by 2 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

1. Semantic Text Matching Using Intelligent Methods: A Survey;2024 4th International Conference on Emerging Smart Technologies and Applications (eSmarTA);2024-08-06

2. Enhancing Chinese abbreviation prediction with LLM generation and contrastive evaluation;Information Processing & Management;2024-07

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