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STRONG -- Structure Controllable Legal Opinion Summary Generation
September 29, 2023 ยท Declared Dead ยท ๐ International Joint Conference on Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Yang Zhong, Diane Litman
arXiv ID
2309.17280
Category
cs.CL: Computation & Language
Cross-listed
cs.AI
Citations
4
Venue
International Joint Conference on Natural Language Processing
Last Checked
5 months ago
Abstract
We propose an approach for the structure controllable summarization of long legal opinions that considers the argument structure of the document. Our approach involves using predicted argument role information to guide the model in generating coherent summaries that follow a provided structure pattern. We demonstrate the effectiveness of our approach on a dataset of legal opinions and show that it outperforms several strong baselines with respect to ROUGE, BERTScore, and structure similarity.
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