Using N-Grams to understand the nature of summaries
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Association for Computational Linguistics
Cited by 8 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. Analyzing Textual Documents Indexes by Applying Key-Phrases Extraction in Fuzzy Logic Domain Based on A Graphical Indexing Methodology;2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO);2022-12
2. Fuzzy Logic-based N-gram Graph Technique for Evaluating Textual Documents Indexes;2022 4th International Conference on Computer Communication and the Internet (ICCCI);2022-07-01
3. The challenging task of summary evaluation: an overview;Language Resources and Evaluation;2017-09-02
4. Enhancing Sentence Ordering by Hierarchical Topic Modeling for Multi-document Summarization;Advances in Artificial Intelligence and Its Applications;2013
5. A behavioural mode research on user-focus summarization;Mathematical and Computer Modelling;2010-04
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