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A survey on challenges and advances in natural language processing with a focus on legal informatics and low-resource languages
The field of Natural Language Processing (NLP) has experienced significant growth in
recent years, largely due to advancements in Deep Learning technology and especially …
recent years, largely due to advancements in Deep Learning technology and especially …
A comparative study of automated legal text classification using random forests and deep learning
Automated legal text classification is a prominent research topic in the legal field. It lays the
foundation for building an intelligent legal system. Current literature focuses on international …
foundation for building an intelligent legal system. Current literature focuses on international …
Natural language processing in law: Prediction of outcomes in the higher courts of Turkey
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 …
legal systems of several countries. It is of interest to study the wide variety of legal systems …
Entity linking for English and other languages: a survey
Extracting named entities text forms the basis for many crucial tasks such as information
retrieval and extraction, machine translation, opinion mining, sentiment analysis and …
retrieval and extraction, machine translation, opinion mining, sentiment analysis and …
Semantic segmentation of legal documents via rhetorical roles
Legal documents are unstructured, use legal jargon, and have considerable length, making
them difficult to process automatically via conventional text processing techniques. A legal …
them difficult to process automatically via conventional text processing techniques. A legal …
A dataset of German legal documents for named entity recognition
We describe a dataset developed for Named Entity Recognition in German federal court
decisions. It consists of approx. 67,000 sentences with over 2 million tokens. The resource …
decisions. It consists of approx. 67,000 sentences with over 2 million tokens. The resource …
Named-entity recognition in Turkish legal texts
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 …
are gaining momentum. Being one of the most prominent tasks in NLP, named-entity …
Knowledge-enhanced model with dual-graph interaction for confusing legal charge prediction
The rapid development of natural language processing (NLP) technologies has enabled the
emergence of legal intelligence assistance systems, with legal charge prediction (LCP) …
emergence of legal intelligence assistance systems, with legal charge prediction (LCP) …
German BERT model for legal named entity recognition
The use of BERT, one of the most popular language models, has led to improvements in
many Natural Language Processing (NLP) tasks. One such task is Named Entity …
many Natural Language Processing (NLP) tasks. One such task is Named Entity …
LegalLens: Leveraging LLMs for legal violation identification in unstructured text
In this study, we focus on two main tasks, the first for detecting legal violations within
unstructured textual data, and the second for associating these violations with potentially …
unstructured textual data, and the second for associating these violations with potentially …