ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution

These results demonstrate a significant breakthrough in enhancing the accessibility of foundational legal documents through artificial intelligence. The framework provides an effective and intuitive tool for legal inquiry, empowering a broader audience to understand the Constitution of Pakistan.

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Publication Details

Journal
Frontiers in Big Data
Published
2025-09-22
DOI
https://doi.org/10.3389/fdata.2025.1448785
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
0.00

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article

ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution

Waqas Nawaz, Muhammad Awais, Sadia Niazi, Qaiser Abbas
Frontiers in Big Data
Topic Modeling
article

ULBERT: a domain-adapted BERT model for bilingual information retrieval from Pakistan's constitution

Waqas Nawaz, Muhammad Awais, Sadia Niazi, Qaiser Abbas
article en

Abstract

These results demonstrate a significant breakthrough in enhancing the accessibility of foundational legal documents through artificial intelligence. The framework provides an effective and intuitive tool for legal inquiry, empowering a broader audience to understand the Constitution of Pakistan.

Frontiers in Big DataVol. 8
University of Sargodha (PK), Islamic University of Madinah (SA)
Islamic University of Madinah
Openalex Percentile: Top 86%
Topic Modeling
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