Who Speaks Like a Style of Vitamin: Towards Syntax-Aware Dialogue Summarization Using Multi-Task Learning

Who Speaks Like a Style of Vitamin: Towards Syntax-Aware Dialogue Summarization Using Multi-Task Learning

Abstractive dialogue summarization is a challenging task for several reasons. First, most of the key information in a conversation is scattered across utterances through multi-party interactions with different textual styles. Second, dialogues are often informal structures, wherein different individ...

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Bibliographic Details
Main Authors: Seolhwa Lee, Kisu Yang, Chanjun Park, Joao Sedoc, Heuiseok Lim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Summarization
dialogue summarization
multi-task learning
syntax-aware conversation
deep learning
Online Access:https://ieeexplore.ieee.org/document/9664379/

Internet

https://ieeexplore.ieee.org/document/9664379/

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