Hi there, Could you please distribute the following job offer? Thanks.
Best, Pascal > ------------------------------------------------------------------------------------- > We invite applications for a 3-year PhD position co-funded by Inria, > the French national research institute in Computer Science and Applied > Mathematics, and LexisNexis France, leader of legal information in > France and subsidiary of the RELX Group. > The overall objective of this project is to develop an automated > system for detecting argumentation structures in French legal > decisions, using recent machine learning-based approaches (i.e. deep > learning approaches). In the general case, these structures take the > form of a directed labeled graph, whose nodes are the elements of the > text (propositions or groups of propositions, not necessarily > contiguous) which serve as components of the argument, and edges are > relations that signal the argumentative connection between them (e.g., > support, offensive). By revealing the argumentation structure behind > legal decisions, such a system will provide a crucial milestone > towards their detailed understanding, their use by legal > professionals, and above all contributes to greater transparency of > justice. > The main challenges and milestones of this project start with the > creation and release of a large-scale dataset of French legal > decisions annotated with argumentation structures. To minimize the > manual annotation effort, we will resort to semi-supervised and > transfer learning techniques to leverage existing argument mining > corpora, such as the European Court of Human Rights (ECHR) corpus, as > well as annotations already started by LexisNexis. Another promising > research direction, which is likely to improve over state-of-the-art > approaches, is to better model the dependencies between the different > sub-tasks (argument span detection, argument typing, etc.) instead of > learning these tasks independently. A third research avenue is to find > innovative ways to inject the domain knowledge (in particular the rich > legal ontology developed by LexisNexis) to enrich enrich the > representations used in these models. Finally, we would like to take > advantage of other discourse structures, such as coreference and > rhetorical relations, conceived as auxiliary tasks in a multi-tasking > architecture. > The successful candidate holds a Master's degree in computational > linguistics, natural language processing, machine learning, ideally > with prior experience in legal document processing and discourse > processing. Furthermore, the candidate will provide strong programming > skills, expertise in machine learning approaches and is eager to work > at the interplay between academia and industry. > The position is affiliated with the MAGNET [1], a research group at > Inria, Lille, which has expertise in Machine Learning and Natural > Language Processing, in particular Discourse Processing. The PhD > student will also work in close collaboration with the R&D team at > LexisNexis France, who will provide their expertise in the legal > domain and the data they have collected. > Applications will be considered until the position is filled. However, > you are encouraged to apply early as we shall start processing the > applications as and when they are received. Applications, written in > English or French, should include a brief cover letter with research > interests and vision, a CV (including your contact address, work > experience, publications), and contact information for at least 2 > referees. Applications (and questions) should be sent to Pascal Denis > ([email protected]) and Damien Sileo ( [ mailto:[email protected] | > [email protected] ] ). > The starting date of the position is 1 September 2023 or soon > thereafter, for a total of 3 full years. > Best regards, > Pascal Denis > [1] https://team.inria.fr/magnet/ > [2] https://www.lexisnexis.fr/ > -- > Pascal > ---- > Pour une évaluation indépendante, transparente et rigoureuse ! > Je soutiens la Commission d'Évaluation de l'Inria. > ---- > +++++++++++++++++++++++++++++++++++++++++++++++ > Pascal Denis > Equipe MAGNET, INRIA Lille Nord Europe > Bâtiment B, Avenue Heloïse > Parc scientifique de la Haute Borne > 59650 Villeneuve d'Ascq > Tel: ++33 3 59 35 87 24 > Url: http://researchers.lille.inria.fr/~pdenis/ > +++++++++++++++++++++++++++++++++++++++++++++++
_______________________________________________ Corpora mailing list -- [email protected] https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to [email protected]
