Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization

Author:

Cho Sangwoo,Lebanoff Logan,Foroosh Hassan,Liu Fei

Publisher

Association for Computational Linguistics

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. End-to-End Deep Networks with Hierarchical Attention and Capsule Capabilities for Misinformation Detection on Microblogging Platforms;SN Computer Science;2024-02-09

2. Determinantal Learning for Drone Networks;2023 57th Asilomar Conference on Signals, Systems, and Computers;2023-10-29

3. Improving Diversity in Unsupervised Keyphrase Extraction with Determinantal Point Process;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

4. Multi-Granularity Entity Recognition based Sentence Ranking for Multi-Document Summarization;2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA);2023-10-09

5. Multi-document Summarization via Deep Learning Techniques: A Survey;ACM Computing Surveys;2022-12-03

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