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        <title>Extract-Explain-Abstract: A Rhetorical Role-Driven Domain-Specific Summarisation Framework for Indian Legal Documents</title>
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            <title>Proceedings of the Natural Legal Language Processing Workshop 2025</title>
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            <namePart type="given">Leslie</namePart>
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    <abstract>Legal documents are characterized by theirlength, intricacy, and dense use of jargon, making efficacious summarisation both paramountand challenging. Existing zero-shot methodologies in small language models struggle tosimplify this jargon and are prone to punts andhallucinations with longer prompts. This paperintroduces the Rhetorical Role-based Extract-Explain-Abstract (EEA) Framework, a novelthree-stage methodology for summarisation ofIndian legal documents in low-resource settings. The approach begins by segmenting legaltexts using rhetorical roles, such as facts, issues and arguments, through a domain-specificphrase corpus and extraction based on TF-IDF.In the explanation stage, the segmented output is enriched with logical connections to ensure coherence and legal fidelity. The final abstraction phase condenses these interlinked segments into cogent, high-level summaries thatpreserve critical legal reasoning. Experimentson Indian legal datasets show that the EEAframework typically outperforms in ROUGE,BERTScore, Flesch Reading Ease, Age of Acquisition, SummaC and human evaluations. Wealso employ InLegalBERTScore as a metric tocapture domain specific semantics of Indianlegal documents.</abstract>
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%0 Conference Proceedings
%T Extract-Explain-Abstract: A Rhetorical Role-Driven Domain-Specific Summarisation Framework for Indian Legal Documents
%A Chheda, Veer
%A Ghaisas, Aaditya Uday
%A Sankhe, Avantika
%A Shekokar, Dr. Narendra
%Y Aletras, Nikolaos
%Y Chalkidis, Ilias
%Y Barrett, Leslie
%Y Goanță, Cătălina
%Y Preoțiuc-Pietro, Daniel
%Y Spanakis, Gerasimos
%S Proceedings of the Natural Legal Language Processing Workshop 2025
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%@ 979-8-89176-338-8
%F chheda-etal-2025-extract
%X Legal documents are characterized by theirlength, intricacy, and dense use of jargon, making efficacious summarisation both paramountand challenging. Existing zero-shot methodologies in small language models struggle tosimplify this jargon and are prone to punts andhallucinations with longer prompts. This paperintroduces the Rhetorical Role-based Extract-Explain-Abstract (EEA) Framework, a novelthree-stage methodology for summarisation ofIndian legal documents in low-resource settings. The approach begins by segmenting legaltexts using rhetorical roles, such as facts, issues and arguments, through a domain-specificphrase corpus and extraction based on TF-IDF.In the explanation stage, the segmented output is enriched with logical connections to ensure coherence and legal fidelity. The final abstraction phase condenses these interlinked segments into cogent, high-level summaries thatpreserve critical legal reasoning. Experimentson Indian legal datasets show that the EEAframework typically outperforms in ROUGE,BERTScore, Flesch Reading Ease, Age of Acquisition, SummaC and human evaluations. Wealso employ InLegalBERTScore as a metric tocapture domain specific semantics of Indianlegal documents.
%U https://aclanthology.org/2025.nllp-1.32/
%P 439-455

Markdown (Informal)

[Extract-Explain-Abstract: A Rhetorical Role-Driven Domain-Specific Summarisation Framework for Indian Legal Documents](https://aclanthology.org/2025.nllp-1.32/) (Chheda et al., NLLP 2025)

• Extract-Explain-Abstract: A Rhetorical Role-Driven Domain-Specific Summarisation Framework for Indian Legal Documents (Chheda et al., NLLP 2025)

ACL

• Veer Chheda, Aaditya Uday Ghaisas, Avantika Sankhe, and Dr. Narendra Shekokar. 2025. Extract-Explain-Abstract: A Rhetorical Role-Driven Domain-Specific Summarisation Framework for Indian Legal Documents. In Proceedings of the Natural Legal Language Processing Workshop 2025, pages 439–455, Suzhou, China. Association for Computational Linguistics.