Enhancing Abstractive Dialogue Summarization with Internal Knowledge
Author:
Affiliation:
1. Xinjiang University,School of Software,Urumqi,China
2. Xinjiang University,School of Computer Science and Technology,Urumqi,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650220.pdf?arnumber=10650220
Reference33 articles.
1. Incorporating Commonsense Knowledge into Abstractive Dialogue Summarization via Heterogeneous Graph Networks
2. SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
3. DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
4. GupShup: Summarizing Open-Domain Code-Switched Conversations
5. BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
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