Research on Dense Enhanced Document Retrieval Based on G-mixup

Tang, Jiawei and Liu, Junping (2023) Research on Dense Enhanced Document Retrieval Based on G-mixup. In: Proceedings of the 2nd International Conference on Information Economy, Data Modeling and Cloud Computing, ICIDC 2023, June 2–4, 2023, Nanchang, China.

[thumbnail of 55609.pdf] PDF
55609.pdf

Download (194kB)

Abstract

The dense document retrieval model based on Mixup regards words as independent individuals, splits the connection between words, ignores the semantic information of the text, and also has the problem of insufficient labeled training data. In view of the above problems, this paper proposes a G-mixup

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 16:35
Last Modified: 17 Apr 2026 02:26
URI: http://eprints.eai.eu/id/eprint/44479

Actions (login required)

View Item
View Item