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Elena Leitner

Elena Leitner has 3 papers in our library, in 2024–2026, most of them on Speech act theory, Information extraction, Legal AI; often with Georg Rehm, Julian Moreno-Schneider, Raia Abu Ahmad.

3 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 4 · 14 works · 171 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 39 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11817

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬German Research Centre for Artificial IntelligenceKaiserslautern · Germany2019–2026 · 6 paperscurrent
🏛️German Research Center for Artificial IntelligenceBerlin · Germany2018–2019Employment 2018–2019 · HiWiEmployment since 2019 · Researcher

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 11The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksArtificial Intelligence · 2 worksSocial Sciences · 2 worksDecision Sciences · 1 workGeneral Social Sciences · 1 workInformation Systems · 1 workLaw · 1 workPolitical Science and International Relations · 1 workStatistics, Probability and Uncertainty · 1 work

🧭 Topics 3Research subjects and languages the work is about.Information extraction · 1 workLegal AI · 1 workSpeech act theory · 1 work

 Works by year

2020s

20262 papers20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Novel Synthetic Dataset for Few-Shot Legal Relation Extraction in German (2026)
    Relation extraction (RE) in German legal texts is hard to develop for three reasons. Annotated corpora are scarce. Privacy rules such as GDPR block the sharing of real case material. Regulations like the EU AI Act constrain the use of large hosted LLMs. To address this, the authors build a synthetic…
  2. UniCite: A Dataset and Unified Hierarchical Taxonomy for Multi-Dimensional Citation Analysis (2026)
    Citation Context Analysis (CCA) is fragmented. Competing taxonomies range from three to more than twelve classes and have no mappings between them. Function, sentiment and importance are usually modelled in isolation, and most benchmarks cover papers from before 2019. The authors propose UniCite, a hierarchical…
  3. Automated Speech Act Classification in Offensive German Language Tweets (2024)
    The paper asks whether speech act information can be detected automatically in German social media text, so that it can later serve as an extra signal for offensive language and hate speech detection.

All works

5 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. A Dataset of German Legal Documents for Named Entity Recognition ↗Proceedings of the Twelfth Language Resources and Evaluation Conference · no summary yetElena Leitner, Georg Rehm, Julian Moreno-Schneider2020 · 62 citations
  2. Developing and Orchestrating a Portfolio of Natural Legal Language Processing and Document Curation Services ↗Proceedings of the Natural Legal Language Processing Workshop 2019 · no summary yetGeorg Rehm et al.2019 · 12 citations
  3. A Novel Synthetic Dataset for Few-Shot Legal Relation Extraction in GermanLanguage Resources and Evaluation Conference (LREC)Shiva Banasaz Nouri, Elena Leitner, Julian Moreno-Schneider, et al.2026
  4. UniCite: A Dataset and Unified Hierarchical Taxonomy for Multi-Dimensional Citation AnalysisNatural Scientific Language Processing (NSLP) @ LRECAmina Mourky, Elena Leitner, Julian Moreno-Schneider, et al.2026
  5. Automated Speech Act Classification in Offensive German Language TweetsTraitement Automatique des LanguesMelina Plakidis, Elena Leitner, Georg Rehm2024

 Co-authors here

3 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 39 times (of the 149,439 papers whose bibliographies we read); 4 citing papers with a page here →.

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