Long Document Summarization in a Low Resource Setting using Pretrained Language Models-Reference-Cited by-同舟云学术

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Long Document Summarization in a Low Resource Setting using Pretrained Language Models

Published:2021 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop
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Author:

Bajaj Ahsaas,Dangati Pavitra,Krishna Kalpesh,Ashok Kumar Pradhiksha,Uppaal Rheeya,Windsor Bradford,Brenner Eliot,Dotterrer Dominic,Das Rajarshi,McCallum Andrew

Publisher

Association for Computational Linguistics

Cited by 14 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. Low-resource court judgment summarization for common law systems;Information Processing & Management;2024-09

2. Segmented Summarization and Refinement: A Pipeline for Long-Document Analysis on Social Media;Journal of Social Computing;2024-06

3. Evaluating the Adaptability of Large Language Models for Knowledge-aware Question and Answering;International Journal on Smart Sensing and Intelligent Systems;2024-04-01

4. A Review on Optimization-Based Automatic Text Summarization Approach;IEEE Access;2024

5. Novel Hybrid Methods for Journal Article Summarization Combining Graph Method and Rough Set TFIDF Method with Pegasus Model;Lecture Notes in Networks and Systems;2024

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