INF

Research project within the CRC 1629 NegLaB (https://www.neglab.de/projects/inf/).

INF supports the CRC projects through all research stages, including the planning of empirical work, its statistical analysis, and the management, curation and archiving of data under CC-0 or CC-BY licenses to ensure reproducibility and long-term sustainability. To achieve this, INF (1) optimizes the research workflow by formulating a structured data management plan; (2) provides statistical training through workshops and individual consultations; (3) assists in the maintenance of data repositories for short- and long-term storage; (4) develops novel computational tools and annotation schemes, including virtual reality-based stimulus design and multimodal tracking methods.

Publications and other activities

Leon Hammerla, Andy Lücking, Carolin Reinert and Alexander Mehler. 2025. D-Neg: Syntax-Aware Graph Reasoning for Negation Detection. Proceedings of 2025 International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL-Findings). accepted.
BibTeX 
@inproceedings{Hammerla:et:al:2025b,
  author    = {Hammerla, Leon and Lücking, Andy and Reinert, Carolin and Mehler, Alexander},
  title     = {D-Neg: Syntax-Aware Graph Reasoning for Negation Detection},
  booktitle = {Proceedings of 2025 International Joint Conference on Natural
               Language Processing & Asia-Pacific Chapter of the Association
               for Computational Linguistics (IJCNLP-AACL-Findings)},
  year      = {2025},
  note      = {accepted},
  keywords  = {neglab}
}
Leon Hammerla, Alexander Mehler and Giuseppe Abrami. 2025. Standardizing Heterogeneous Corpora with DUUR: A Dual Data- and Process-Oriented Approach to Enhancing NLP Pipeline Integration. Proceedings of 2025 International Joint Conference on Natural Language Processing & Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL-Findings). accepted.
BibTeX 
@inproceedings{Hammerla:et:al:2025a,
  author    = {Hammerla, Leon and Mehler, Alexander and Abrami, Giuseppe},
  title     = {Standardizing Heterogeneous Corpora with DUUR: A Dual Data- and
               Process-Oriented Approach to Enhancing NLP Pipeline Integration},
  booktitle = {Proceedings of 2025 International Joint Conference on Natural
               Language Processing & Asia-Pacific Chapter of the Association
               for Computational Linguistics (IJCNLP-AACL-Findings)},
  year      = {2025},
  note      = {accepted},
  keywords  = {neglab}
}