Hassan Sarwat — accepted AI-conference papers

2025

QABISAR: Query-Article Bipartite Interactions for Statutory Article Retrieval

Santosh T.y.s.s, Hassan Sarwat, Matthias Grabmair

COLING 2025main

In this paper, we introduce QABISAR, a novel framework for statutory article retrieval, to overcome the semantic mismatch problem when modeling each query-article pair in isolation, making it hard to learn representation that can effectively capture multi-faceted information. QABISAR leverages bipar…

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2024

Mind Your Neighbours: Leveraging Analogous Instances for Rhetorical Role Labeling for Legal Documents

Santosh T.y.s.s., Hassan Sarwat, Ahmed Mohamed Abdelaal Abdou, Matthias Grabmair

COLING 2024main

Rhetorical Role Labeling (RRL) of legal judgments is essential for various tasks, such as case summarization, semantic search and argument mining. However, it presents challenges such as inferring sentence roles from context, interrelated roles, limited annotated data, and label imbalance. This stud…

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