Workshop on predictive modeling of case law (APJ2024/lawbot)

8^th July 2024

This workshop brings together researchers on the study of French case law. It lies at the interface between legal, economic and computer sciences. The workshop aims to propose and discuss predictive computational models of French court jurisprudence. The focus will be on approaches, methods and experimental prototypes capable of responding to natural language queries describing factual legal situations, in order to formulate a prediction about the likelihood of a judicial outcome and automatically generate an argumentative text motivating the legal outcome.
Interpretability models can also be used to understand the parts of case law on which deep learning models base their predictions.
 Ethical, legal and philosophical discussions about these methods are encouraged.  Selected papers will be published in a special issue of "Machine Learning and Natural Language Processing".

Submissions may cover, but are not limited to, the following topics:

1) Annotation of legal corpora.

2) Named entity recognition and sentence categorization.

3) Legal information retrieval.

4) Predictive models (polarity, quantum, etc.).

5) Generation of legal explanations and arguments for legal decisions.

6) Question and answer systems.

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Contributions must be original work and must not be submitted simultaneously to other conferences or journals. Although papers may be written in either French or English, the use of English is strongly recommended.
Submissions must be in PDF format and follow the downloadable presentation template: [template].
The maximum length of papers is 8 pages, with the possibility of adding appendices of up to 4 pages, which will be included in the conference proceedings.

Important dates

• Full papers due : 26/05/2024
• Full paper notifications: 06/21/2024