Elena Leitner


2024

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Common European Language Data Space
Georg Rehm | Stelios Piperidis | Khalid Choukri | Andrejs Vasiļjevs | Katrin Marheinecke | Victoria Arranz | Aivars Bērziņš | Miltos Deligiannis | Dimitris Galanis | Maria Giagkou | Katerina Gkirtzou | Dimitris Gkoumas | Annika Grützner-Zahn | Athanasia Kolovou | Penny Labropoulou | Andis Lagzdiņš | Elena Leitner | Valérie Mapelli | Hélène Mazo | Simon Ostermann | Stefania Racioppa | Mickaël Rigault | Leon Voukoutis
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

The Common European Language Data Space (LDS) is an integral part of the EU data strategy, which aims at developing a single market for data. Its decentralised technical infrastructure and governance scheme are currently being developed by the LDS project, which also has dedicated tasks for proof-of-concept prototypes, handling legal aspects, raising awareness and promoting the LDS through events and social media channels. The LDS is part of a broader vision for establishing all necessary components to develop European large language models.

2020

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A Dataset of German Legal Documents for Named Entity Recognition
Elena Leitner | Georg Rehm | Julian Moreno-Schneider
Proceedings of the Twelfth Language Resources and Evaluation Conference

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 contains 54,000 manually annotated entities, mapped to 19 fine-grained semantic classes: person, judge, lawyer, country, city, street, landscape, organization, company, institution, court, brand, law, ordinance, European legal norm, regulation, contract, court decision, and legal literature. The legal documents were, furthermore, automatically annotated with more than 35,000 TimeML-based time expressions. The dataset, which is available under a CC-BY 4.0 license in the CoNNL-2002 format, was developed for training an NER service for German legal documents in the EU project Lynx.

2019

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Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services
Georg Rehm | Julián Moreno-Schneider | Jorge Gracia | Artem Revenko | Victor Mireles | Maria Khvalchik | Ilan Kernerman | Andis Lagzdins | Marcis Pinnis | Artus Vasilevskis | Elena Leitner | Jan Milde | Pia Weißenhorn
Proceedings of the Natural Legal Language Processing Workshop 2019

We present a portfolio of natural legal language processing and document curation services currently under development in a collaborative European project. First, we give an overview of the project and the different use cases, while, in the main part of the article, we focus upon the 13 different processing services that are being deployed in different prototype applications using a flexible and scalable microservices architecture. Their orchestration is operationalised using a content and document curation workflow manager.