Measuring the Quality of Text Summarization: A Survey of Evaluation Approaches
Author:
Affiliation:
1. National Institute of Technology Karnataka,Dept. of Information Technology,Surathkal,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10430418/10430505/10431258.pdf?arnumber=10431258
Reference30 articles.
1. Deep contextualized embeddings for quantifying the informative content in biomedical text summarization
2. Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint
3. Combine clustering and frequent itemsets mining to enhance biomedical text summarization
4. Parallelizing a multi-objective optimization approach for extractive multi-document text summarization
5. Extractive multi-document text summarization based on graph independent sets
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