Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them-Reference-Cited by-同舟云学术

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Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them

Published:2023 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 15th International Conference on Agents and Artificial Intelligence
language:
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Author:

Afzal Anum¹,Vladika Juraj¹,Braun Daniel²,Matthes Florian¹

Affiliation:

1. Department of Computer Science, Technical University of Munich, Boltzmannstrasse 3, 85748 Garching bei Muenchen, Germany, --- Select a Country ---

2. Department of High-tech Business and Entrepreneurship, University of Twente, Hallenweg 17, 7522NH Enschede, The Netherlands, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 2 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. LegalMind System and the LLM-based Legal Judgment Query System;2024 International Conference on Trends in Quantum Computing and Emerging Business Technologies;2024-03-22

2. Evaluation and Analysis of Large Language Models for Clinical Text Augmentation and Generation;IEEE Access;2024

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