4.4 Article

An entity-centric approach to manage court judgments based on Natural Language Processing

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Named-entity recognition in Turkish legal texts

Can Cetindag et al.

Summary: Natural language processing (NLP) technologies are increasingly important in legal text processing. This study presents a named-entity recognition (NER) model for Turkish legal texts and explores different word embeddings and character feature extraction techniques. The model achieves a high F1 score of 92.27%, filling the gap in NER research in the Turkish legal domain.

NATURAL LANGUAGE ENGINEERING (2023)

Article Computer Science, Software Engineering

Applications of natural language processing in software traceability: A systematic mapping study?

Zaki Pauzi et al.

Summary: A key part of software evolution and maintenance is the continuous integration from collaborative efforts, often resulting in complex traceability challenges between software artifacts: features and modules remain scattered in the source code, and traceability links become harder to recover. In this paper, we perform a systematic mapping study dealing with recent research recovering these links through information retrieval, with a particular focus on natural language processing (NLP). Based on our study, we have identified key issues, barriers, and setbacks, as well as open challenges in achieving effective traceability and efforts in achieving interoperability and explainability in NLP models for traceability.

JOURNAL OF SYSTEMS AND SOFTWARE (2023)

Article Computer Science, Information Systems

A knowledge-centered framework for exploration and retrieval of legal documents

Silvana Castano et al.

Summary: This paper introduces CRIKE, an automated system for legal knowledge extraction, which supports annotation and knowledge extraction from legal documents, providing useful suggestions to legal actors. By utilizing the LATO-KM knowledge model and the bootstrapping cycle, the system progressively enriches the terminological knowledge layer, improving the effectiveness of knowledge extraction.

INFORMATION SYSTEMS (2022)

Proceedings Paper Computer Science, Cybernetics

Measuring Annotator Agreement Generally across Complex Structured, Multi-object, and Free-text Annotation Tasks

Alexander Braylan et al.

Summary: This study investigates and proposes new measures for assessing inter-annotator agreement (IAA) in complex labeling tasks.

PROCEEDINGS OF THE ACM WEB CONFERENCE 2022 (WWW'22) (2022)

Article Computer Science, Information Systems

Multimedia analysis platform for crime prevention and investigation Results of MAGNETO project

Francisco J. Perez et al.

Summary: The use of digital technologies is increasing the volume, modality, and frequency of information, leading to a critical need for Law Enforcement Agencies to effectively manage and analyze large amounts of heterogeneous data for criminal investigations.

MULTIMEDIA TOOLS AND APPLICATIONS (2021)

Proceedings Paper Computer Science, Artificial Intelligence

Semantic Data Integration for Investigations: Lessons Learned and Open Challenges

Carlo Batini et al.

Summary: In today's world, the increasing amounts of information generated by individuals and corporations from various sources require effective processing, especially in criminal investigations, where handling large amounts of data is essential to answering relevant questions. The complexity of information management processes in criminal investigations can be alleviated by the application of natural language processing techniques, which may prove beneficial in resolving these issues.

2021 IEEE INTERNATIONAL CONFERENCE ON SMART DATA SERVICES (SMDS 2021) (2021)

Article Computer Science, Artificial Intelligence

Populating legal ontologies using semantic role labeling

Llio Humphreys et al.

Summary: This article introduces a semantic role labeling based information extraction system to extract definitions and norms from legislation and represent them as structured norms in legal ontologies. The goal is to make laws more accessible, understandable, and searchable in a legal document management system.

ARTIFICIAL INTELLIGENCE AND LAW (2021)

Proceedings Paper Computer Science, Artificial Intelligence

An Architecture for Extracting Key Elements from Legal Permits

Anna Breit et al.

2020 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) (2020)

Proceedings Paper Computer Science, Information Systems

uAIS: An Experience of Increasing Performance of NLP Information Extraction Tasks from Legal Documents in an Electronic Document Management System

Marcos Ruiz et al.

PROCEEDINGS OF THE 22ND INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS (ICEIS), VOL 1 (2020)

Article Multidisciplinary Sciences

Passage-Based Text Summarization for Legal Information Retrieval

Ambedkar Kanapala et al.

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Investigative Knowledge Discovery for Combating Illicit Activities

Mayank Kejriwal et al.

IEEE INTELLIGENT SYSTEMS (2018)

Article Computer Science, Information Systems

Human-in-the-loop Data Integration

Guoliang Li

PROCEEDINGS OF THE VLDB ENDOWMENT (2017)

Article Computer Science, Artificial Intelligence

NLP-based faceted search: Experience in the development of a science and technology search engine

Marcelo G. Armentano et al.

EXPERT SYSTEMS WITH APPLICATIONS (2014)

Article Computer Science, Artificial Intelligence

Learning multilingual named entity recognition from Wikipedia

Joel Nothman et al.

ARTIFICIAL INTELLIGENCE (2013)

Article Biochemical Research Methods

Various criteria in the evaluation of biomedical named entity recognition

RTH Tsai et al.

BMC BIOINFORMATICS (2006)

Article Computer Science, Information Systems

Agreement, the F-measure, and reliability in information retrieval

G Hripcsak et al.

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION (2005)