Improving Kullback-Leibler based legal document summarization using enhanced text representation-Reference-Cited by-同舟云学术

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Improving Kullback-Leibler based legal document summarization using enhanced text representation

Published:2022-11-04 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE Silchar Subsection Conference (SILCON)
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Author:

Jain Deepali¹,Dutta Borah Malaya¹,Biswas Anupam¹

Affiliation:

1. NIT Silchar,CSE Department,Silchar,India,788010

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10028779/10028780/10028887.pdf?arnumber=10028887

Reference24 articles.

1. Textrank: Bringing order into text;mihalcea;Proceedings of the 2004 Conference on Empirical Methods in Natural Language Processing,2004

2. Bertscore: Evaluating text generation with bert;zhang,2019

3. New Methods in Automatic Extracting

4. The impact of frequency on summarization. Microsoft Research, Redmond, Washington;nenkova;Tech Rep MSR-TR-2005 101,2005

Cited by 1 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. Controlled Randomness Improves the Performance of Transformer Models;2023 International Conference on Machine Learning and Applications (ICMLA);2023-12-15

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