New publications accepted at LREC-COLING 2024

The following publications were accepted at the LREC-COLING 2024 in Turin / Italy:

Dependencies over Times and Tools (DoTT)

Andy Lücking, Giuseppe Abrami, Leon Hammerla, Marc Rahn, Daniel Baumartz, Steffen Eger and Alexander Mehler. May, 2024. Dependencies over Times and Tools (DoTT). Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation. accepted.
BibTeX
@inproceedings{Luecking:et:al:2024,
  author    = {Lücking, Andy and Abrami, Giuseppe and Hammerla, Leon and Rahn, Marc
               and Baumartz, Daniel and Eger, Steffen and Mehler, Alexander},
  title     = {Dependencies over Times and Tools ({DoTT})},
  booktitle = {Proceedings of the 2024 Joint International Conference on Computational
               Linguistics, Language Resources and Evaluation},
  series    = {LREC-COLING 2024},
  year      = {2024},
  month     = {05},
  address   = {Torino, Italia},
  organization = {ELRA Language Resources Association (ELRA) and the
                  International Committee on Computational Linguistics
                  (ICCL)},
  pubstate  = {forthcoming},
  note      = {accepted}
}

German SRL: Corpus Construction and Model Training

Maxim Konca, Andy Lücking and Alexander Mehler. May, 2024. German SRL: Corpus Construction and Model Training. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). accepted.
BibTeX
@inproceedings{Konca:et:al:2024,
  author    = {Konca, Maxim and L\"{u}cking, Andy and Mehler, Alexander},
  title     = {German SRL: Corpus Construction and Model Training},
  year      = {2024},
  month     = {05},
  abstract  = {A useful semantic role-annotated resource for training semantic
               role models for the German language is missing. We point out some
               problems of previous resources and provide a new one due to a
               combined translation and alignment process: The gold standard
               CoNLL-2012 semantic role annotations are translated into German.
               Semantic role labels are transferred due to alignment models.
               The resulting dataset is used to train a German semantic role
               model. With F1-scores around 0.7, the major roles achieve competitive
               evaluation scores, but avoid limitations of previous approaches.
               The described procedure can be applied to other languages as well.},
  booktitle = {Proceedings of the 2024 Joint International Conference on Computational
               Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
  location  = {Torino (Italia)},
  organization = {ELRA Language Resources Association (ELRA) and the
                  International Committee on Computational Linguistics
                  (ICCL)},
  series    = {LREC-COLING 2024},
  note      = {accepted}
}

German Parliamentary Corpus (GerParCor) Reloaded

Giuseppe Abrami, Mevlüt Bagci and Alexander Mehler. May, 2024. German Parliamentary Corpus (GerParCor) Reloaded. Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). accepted.
BibTeX
@inproceedings{Abrami:et:al:2024,
  author    = {Abrami, Giuseppe and Bagci, Mevl\"{u}t and Mehler, Alexander},
  title     = {German Parliamentary Corpus (GerParCor) Reloaded},
  year      = {2024},
  month     = {05},
  abstract  = {In 2022, the largest German-speaking corpus of parliamentary protocols
               from three different centuries, on a national and federal level
               from the countries of Germany, Austria, Switzerland and Liechtenstein,
               was collected and published – GerParCor. Through GerParCor, it
               became possible to provide for the first time various parliamentary
               protocols which were not available digitally and, moreover, could
               not be retrieved and processed in a uniform manner. Furthermore,
               GerParCor was additionally preprocessed using NLP methods and
               made available in XMI format. In this paper, GerParCor is significantly
               updated by including all new parliamentary protocols in the corpus,
               as well as adding and pre-processing further parliamentary protocols
               previously not covered, so that a period up to 1797 is now covered.
               Besides the integration of a new, state-of-the-art and appropriate
               NLP pre-processing for the handling of large text corpora, this
               update also provides an overview of the further reuse of GerParCor
               by presenting various provisioning capabilities such as API’s,
               among others.},
  booktitle = {Proceedings of the 2024 Joint International Conference on Computational
               Linguistics, Language Resources and Evaluation (LREC-COLING 2024)},
  location  = {Torino (Italia)},
  organization = {ELRA Language Resources Association (ELRA) and the
                  International Committee on Computational Linguistics
                  (ICCL)},
  series    = {LREC-COLING 2024},
  note      = {accepted}
}