Papers by Byeongil Ko

1 papers
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization (2020.coling-main)

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Challenge: Existing methods for text summarization are based on recall-oriented understudy for gisting evaluation (ROUGE) scores do not reflect semantic meaning correspondences between generated and reference summaries.
Approach: They propose to use Korean as a summarization language to generate a shorter form of text from the source document preserving salient information.
Outcome: The proposed evaluation metrics improve the correlation between the metrics and human judgment.

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