Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization-Reference-Cited by-同舟云学术

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Adapter-Based Selective Knowledge Distillation for Federated Multi-Domain Meeting Summarization

Published:2024 Issue: Volume:32 Page:3694-3708
ISSN:2329-9290
Container-title:IEEE/ACM Transactions on Audio, Speech, and Language Processing
language:
Short-container-title:IEEE/ACM Trans. Audio Speech Lang. Process.

Author:

Feng Xiachong¹^ORCID,Feng Xiaocheng²^ORCID,Du Xiyuan³,Kan Min-Yen⁴,Qin Bing²^ORCID

Affiliation:

1. University of Hong Kong, Hong Kong

2. Peng Cheng Laboratory, Shenzhen, China

3. Harbin Institute of Technology, Harbin, China

4. School of Computing, National University of Singapore, Singapore

Funder

Hong Kong Innovation and Technology Support Programme Platform Research Project

National Key R&D Program of China

National Natural Science Foundation of China

Key R&D Program of Heilongjiang

International Cooperation Project of PCL

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6570655/10304349/10557150.pdf?arnumber=10557150

Reference52 articles.

1. Generating Abstractive Summaries from Meeting Transcripts

2. Meeting summarization: A survey of the state of the art;Kumar,2022

3. Abstractive meeting summarization: A survey;Rennard;Trans. Assoc. Comput. Linguistics,2022

4. Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

5. A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining

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