Identification and Characterization of Newsworthy Verbs in World News

By Benjamin D. Nye, Ani Nenkova

Subfields: Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Natural Language Processing

1. Caiming Xiong
2. Richard Socher
3. Bryan McCann
4. Nitish Shirish Keskar
5. Mohit Bansal
6. Graham Neubig
7. Wojciech Kryscinski
8. Jianfeng Gao

Citations in the corpus

• A Deep Reinforced Model for Abstractive Summarization (2017, background): “, 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 run an end-to-end abstrac-”
• Neural Text Summarization: A Critical Evaluation (2019, methodology): “It has been primarily used for extractive summarization (Hong and Nenkova, 2014; Li et al., 2016) and phrase-importance prediction (Yang and Nenkova, 2014; Nye and Nenkova, 2015).”
• The Role of Discourse Units in Near-Extractive Summarization (2016, background): “Prior work has also demonstrated the utility of this corpus for summarization (Hong et al., 2015; Nye and Nenkova, 2015).”