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Unlocking practical applications in legal domain: Evaluation of gpt for zero-shot semantic annotation of legal texts
We evaluated the capability of a state-of-the-art generative pretrained transformer (GPT)
model to perform semantic annotation of short text snippets (one to few sentences) coming …
model to perform semantic annotation of short text snippets (one to few sentences) coming …
The unreasonable effectiveness of large language models in zero-shot semantic annotation of legal texts
The emergence of ChatGPT has sensitized the general public, including the legal
profession, to large language models'(LLMs) potential uses (eg, document drafting, question …
profession, to large language models'(LLMs) potential uses (eg, document drafting, question …
A knowledge-centered framework for exploration and retrieval of legal documents
Automated legal knowledge extraction systems are strongly demanded, to support
annotation of legal documents as well as knowledge extraction from them, to provide useful …
annotation of legal documents as well as knowledge extraction from them, to provide useful …
Towards consumer-empowering artificial intelligence
Artificial Intelligence and Law is undergoing a critical transformation. Traditionally focused
on the development of expert systems and on a scholarly effort to develop theories and …
on the development of expert systems and on a scholarly effort to develop theories and …
Applying an interactive machine learning approach to statutory analysis
Statutory analysis is a significant component of research on almost any legal issue and
determining if a statutory provision applies is an integral part of the analysis. In this paper we …
determining if a statutory provision applies is an integral part of the analysis. In this paper we …
Crime knowledge extraction: an ontology-driven approach for detecting abstract terms in case law decisions
In this paper, we present CRIKE, a data-science approach to automatically detect concrete
applications of legal abstract terms in case-law decisions. To this purpose, CRIKE relies on …
applications of legal abstract terms in case-law decisions. To this purpose, CRIKE relies on …
The LATO knowledge model for automated knowledge extraction and enrichment from court decisions corpora
Abstract Knowledge extraction systems are strongly demanded in the legal domain, to
provide legal actors like judges or lawyers with useful and relevant information to enforce a …
provide legal actors like judges or lawyers with useful and relevant information to enforce a …
Transfer of predictive models for classification of statutory texts in multi-jurisdictional settings
In this paper we use statistical machine learning to classify statutory texts in terms of highly
specific functional categories. We focus on regulatory provisions from multiple US state …
specific functional categories. We focus on regulatory provisions from multiple US state …
Detecting agent mentions in US court decisions
Case law analysis is a significant component of research on almost any legal issue and
understanding which agents are involved and mentioned in a decision is integral part of the …
understanding which agents are involved and mentioned in a decision is integral part of the …
A Bootstrap** Approach for Semi-Automated Legal Knowledge Extraction and Enrichment
In this paper, we propose a bootstrap** approach for semi-A utomated legal knowledge
extraction. The approach is characterized by the use of a reference legal ontology that is …
extraction. The approach is characterized by the use of a reference legal ontology that is …