[HTML][HTML] Large language models in law: A survey

J Lai, W Gan, J Wu, Z Qi, SY Philip - AI Open, 2024 - Elsevier
The advent of artificial intelligence (AI) has significantly impacted the traditional judicial
industry. Moreover, recently, with the development of the concept of AI-generated content …

Natural language processing for requirements engineering: A systematic map** study

L Zhao, W Alhoshan, A Ferrari, KJ Letsholo… - ACM Computing …, 2021 - dl.acm.org
Natural Language Processing for Requirements Engineering (NLP4RE) is an area of
research and development that seeks to apply natural language processing (NLP) …

State of art for semantic analysis of natural language processing

DH Maulud, SRM Zeebaree, K Jacksi… - Qubahan academic …, 2021 - journal.qubahan.com
Semantic analysis is an essential feature of the NLP approach. It indicates, in the
appropriate format, the context of a sentence or paragraph. Semantics is about language …

Natural language processing in law: Prediction of outcomes in the higher courts of Turkey

E Mumcuoğlu, CE Öztürk, HM Ozaktas, A Koç - Information Processing & …, 2021 - Elsevier
Natural language processing (NLP) based approaches have recently received attention for
legal systems of several countries. It is of interest to study the wide variety of legal systems …

Using domain-specific corpora for improved handling of ambiguity in requirements

S Ezzini, S Abualhaija, C Arora… - 2021 IEEE/ACM …, 2021 - ieeexplore.ieee.org
Ambiguity in natural-language requirements is a pervasive issue that has been studied by
the requirements engineering community for more than two decades. A fully manual …

An NLP approach for cross-domain ambiguity detection in requirements engineering

A Ferrari, A Esuli - Automated Software Engineering, 2019 - Springer
During requirements elicitation, different stakeholders with diverse backgrounds and skills
need to effectively communicate to reach a shared understanding of the problem at hand …

Improving requirements completeness: Automated assistance through large language models

D Luitel, S Hassani, M Sabetzadeh - Requirements Engineering, 2024 - Springer
Natural language (NL) is arguably the most prevalent medium for expressing systems and
software requirements. Detecting incompleteness in NL requirements is a major challenge …

Nlp-based automated compliance checking of data processing agreements against gdpr

OA Cejas, MI Azeem, S Abualhaija… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
When the entity processing personal data (the processor) differs from the one collecting
personal data (the controller), processing personal data is regulated in Europe by the …

Automated question answering for improved understanding of compliance requirements: A multi-document study

S Abualhaija, C Arora, A Sleimi… - 2022 IEEE 30th …, 2022 - ieeexplore.ieee.org
Software systems are increasingly subject to regulatory compliance. Extracting compliance
requirements from regulations is challenging. Ideally, locating compliance-related …

Named-entity recognition in Turkish legal texts

C Çetindağ, B Yazıcıoğlu, A Koç - Natural Language Engineering, 2023 - cambridge.org
Natural language processing (NLP) technologies and applications in legal text processing
are gaining momentum. Being one of the most prominent tasks in NLP, named-entity …