A Robust Contrastive Alignment Method for Multi-Domain Text Classification-Reference-Cited by-同舟云学术

A Robust Contrastive Alignment Method for Multi-Domain Text Classification

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Li Xuefeng¹,Lei Hao¹,Wang Liwen¹,Dong Guanting¹,Zhao Jinzheng²,Liu Jiachi¹,Xu Weiran¹,Zhang Chunyun³

Affiliation:

1. Beijing University of Posts and Telecommunications,Beijing,China

2. University of Surrey,School of Computer Science and Electronic Engineering,UK

3. Shandong University of Finance and Economics,Jinan,China

Publisher

IEEE

Link

Reference17 articles.

1. Conditional adversarial networks for multi-domain text classification;wu,2021

2. Supervised contrastive learning;khosla;CoRR,2020

4. Infonce is a variational autoencoder;aitchison,2021

5. Conditional contrastive learning: Removing undesirable information in self-supervised representations;tsai,2021

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2. Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21