RoBERTa-Based Keyword Extraction from Small Number of Korean Documents

RoBERTa-Based Keyword Extraction from Small Number of Korean Documents

Keyword extraction is the task of identifying essential words in a lengthy document. This process is primarily executed through supervised keyword extraction. In instances where the dataset is limited in size, a classification-based approach is typically employed. Therefore, this paper introduces a...

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Bibliographic Details
Main Authors: So-Eon Kim, Jun-Beom Lee, Gyu-Min Park, Seok-Man Sohn, Seong-Bae Park
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Electronics
Subjects:
keyword extraction
sequence labeling
post-processing
RoBERTa
learning with small dataset
Online Access:https://www.mdpi.com/2079-9292/12/22/4560

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