Deep Learning Techniques for Legal Text Summarization-Reference-Cited by-同舟云学术

Deep Learning Techniques for Legal Text Summarization

Published:2021-11-11 Issue: Volume: Page:
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Container-title:2021 IEEE 8th Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)
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Author:

Sheik Reshma,Nirmala S. Jaya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9667472/9667553/09667640.pdf?arnumber=9667640

Reference23 articles.

1. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

2. Effective Approaches to Attention-based Neural Machine Translation

3. Towards Explainable AI: Assessing the Usefulness and Impact of Added Explainability Features in Legal Document Summarization

4. CaseSummarizer: A System for Automated Summarization of Legal Texts;polsley;Proceedings of COLING 2016 the 26th International Conference on Computational Linguistics System Demonstrations,2016

5. A Neural Attention Model for Abstractive Sentence Summarization

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

5. Advances in Natural Language Processing and Deep Learning for Document Summarization;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24