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26 April 2024 |
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Efficient and Effective Single-Document Summarizations and A Word-Embedding Measurement of Quality | | Liqun Shao
; Hao Zhang
; Ming Jia
; Jie Wang
; | | Date: |
1 Oct 2017 | | Abstract: | Our task is to generate an effective summary for a given document with
specific realtime requirements. We use the softplus function to enhance keyword
rankings to favor important sentences, based on which we present a number of
summarization algorithms using various keyword extraction and topic clustering
methods. We show that our algorithms meet the realtime requirements and yield
the best ROUGE recall scores on DUC-02 over all previously-known algorithms. We
show that our algorithms meet the realtime requirements and yield the best
ROUGE recall scores on DUC-02 over all previously-known algorithms. To evaluate
the quality of summaries without human-generated benchmarks, we define a
measure called WESM based on word-embedding using Word Mover’s Distance. We
show that the orderings of the ROUGE and WESM scores of our algorithms are
highly comparable, suggesting that WESM may serve as a viable alternative for
measuring the quality of a summary. | | Source: | arXiv, 1710.0284 | | Services: | Forum | Review | PDF | Favorites | |
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