Argument Extraction for Key Point Generation Using MMR-Based Methods

Argument Extraction for Key Point Generation Using MMR-Based Methods

When people debate, they want to familiarize themselves with a whole range of arguments about a given topic in order to deepen their knowledge and inspire new claims. However, the amount of differently phrased arguments is humongous, making the process of processing them time-consuming. In spite of...

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Bibliographic Details
Main Authors: Daiki Shirafuji, Rafal Rzepka, Kenji Araki
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Argument aggregation
argument mining
key points
machine learning
natural language processing
text summarization
Online Access:https://ieeexplore.ieee.org/document/9490211/

Internet

https://ieeexplore.ieee.org/document/9490211/

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