SinBrief: A Hybrid Framework for Abstractive Text Summarisation of Sinhala Legal Documents

arXiv:2609.32397 · cs.CL · Submitted 2026-09-26 · Read on arXiv

cs.CL

Submitted: 2026-09-26

Updated: 2026-09-26

Comments: 13 pages, 5 figures, 3 tables, Accepted paper at the 13th Conference on Computational Linguistics and Speech Processing (ROCLING) 2026

Code: https://github.com/Minduli-Lasandi/SinBrief

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Graph Construction — 11× in this paper · explained in 3 episodes
• Clustering — 9× in this paper · explained in 2 episodes
• Embeddings — 8× in this paper · explained in 2 episodes
• Accuracy — 7× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Transformer — 6× in this paper · explained in 2 episodes
• Low-Resource Languages — 5× in this paper · explained in 4 episodes
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Domain Adaptation — 2× in this paper · explained in 5 episodes
• Perplexity — 2× in this paper · explained in 3 episodes
• Transformer Models — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Ablation Studies — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Cross-lingual Transfer — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Granularity Mismatch — 1× in this paper · explained in 2 episodes
• Hybrid Approach — 1× in this paper · explained in 4 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Spectral clustering — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes
• Wasserstein Distance — 1× in this paper · explained in 4 episodes

Sources

• GPT-4 Technical Report
• The Falcon Series of Open Language Models
• The Llama 3 Herd of Models
• Decoupled Weight Decay Regularization
• Legal Summarisation through LLMs: The PRODIGIT Project
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• BERTScore: Evaluating Text Generation with BERT

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