Mining Both Commonality and Specificity From Multiple Documents for Multi-Document Summarization
Author:
Affiliation:
1. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10499708.pdf?arnumber=10499708
Reference30 articles.
1. An unsupervised method for extractive multi-document summarization based on centroid approach and sentence embeddings
2. Enhancing sentence-level clustering with ranking-based clustering framework for theme-based summarization
3. LexRank: Graph-based Lexical Centrality as Salience in Text Summarization
4. Centroid-based summarization of multiple documents
5. Centroid-based Text Summarization through Compositionality of Word Embeddings
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