Improving the Estimation of Word Importance for News Multi-Document Summarization - Extended Technical Report

By Kai Hong. 2016

Subfields: Natural Language Processing

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In Natural Language Processing

1. Caiming Xiong
2. Richard Socher
3. Mohit Bansal
4. Romain Paulus
5. Mirella Lapata
6. Graham Neubig
7. Christopher D. Manning
8. Luke S. Zettlemoyer

Citations in the corpus

• A Deep Reinforced Model for Abstractive Summarization (2017, methodology): “Even though this dataset has been used to train extractive summarization systems (Hong and Nenkova, 2014; Li et al., 2016) or closely-related models for predicting the importance of a phrase in an article (Yang and Nenkova, 2014; Nye and Nenkova, 2015; Hong et al., 2015), we are the first group to…”