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European network for Web-centred linguistic data science

THE ACTION

The main aim of NexusLinguarum is to promote synergies across Europe between linguists, computer scientists, terminologists, and other stakeholders in industry and society, in order to investigate and extend the area of linguistic data science.

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We understand linguistic data science as a subfield of the emerging “data science”, which focuses on the systematic analysis and study of the structure and properties of data at a large scale, along with methods and techniques to extract new knowledge and insights from it. Linguistic data science is a specific case, which is concerned with providing a formal basis to the analysis, representation, integration and exploitation of language data (syntax, morphology, lexicon, etc.). In fact, the specificities of linguistic data are an aspect largely unexplored so far in a big data context.

ACTIVITIES

The activities of the Action aim to foster collaboration and knowledge-sharing between the Action members, and include Short-Term Scientific Missions (STSMs), WG meetings, conferences and workshops, training schools, and other dissemination events.

RECENTS NEWS

The results of the Action include reports, publications, pointers to relevant systems and resources, as well as collaborations and bridges to related initiatives.

TEAM

NexusLinguarum is composed of five working groups (WGs 1-5), interoperating and providing mutual feedback between themselves. The core group is responsible for the coordination and management of the whole network, and for the dissemination of its results.

RESULTS

The results of the Action include reports, publications, pointers to relevant systems and resources, as well as collaborations and bridges to related initiatives.

  • Trajanov, Dimitar. (January, 2024). Sentiment Analysis in Finance: From Transformers Back to eXplainable Lexicons (XLex). Zenodo. https://doi.org/10.1109/ACCESS.2024.3349970
  • Rackevičienė, Sigita, Utka, Andrius, Bielinskienė, Agnė, Liudmila, Mockienė. (December, 2023). Lithuanian-English Cybersecurity Termbase: Principles of Data Collection and Structuring. Zenodo. https://doi.org/10.31724/rihjj.49.2.12
  • Gonçalo Oliveira, Hugo. (September, 2023). GPT3 as a Portuguese Lexical Knowledge Base?. Zenodo. https://doi.org/10.5281/zenodo.10843163
  • Gonçalo Oliveira, Hugo. (March, 2024). BATS-PT: Assessing Portuguese Masked Language Models in Lexico-Semantic Analogy Solving and Relation Completion. Zenodo. https://doi.org/10.5281/zenodo.10843272
  • Sérasset, Gilles. (October, 2023). DBnary - Wiktionary Lexical Data in RDF/Ontolex - All languages (Version 20231020). Zenodo. https://doi.org/10.5281/zenodo.10475278
  • Gracia, Jorge, Gromann, Dagmar, Dojchinovski, Milan, Declerck, Thierry, Chiarcos, Christian, Alam, Mehwish, Cochez, Michael, Fiorelli, Manuel, Gkirtzou, Katerina, Oliveira, Hugo Gonçalo, Ionov, Max, Moussallem, Diego, Stellato, Armando, Tchechmedjiev, Andon. (November, 2023). SD-LLOD-23 Materials. Zenodo. https://doi.org/10.5281/zenodo.10080421
  • Gracia, Jorge, Dojcinovski, Milan, Gromann, Dagmar, Declerck, Thierry, Chiarcos, Christian, Kristina, Despot, Ostroški, Ana, Alam, Mehwish, Cochez, Michael, Fiorelli, Manuel, Gkirtzou, Katerina, Oliveira, Hugo Gonçalo, Ionov, Max, Moussallem, Diego, Stellato, Armando, Tchechmedjiev, Andon, Passarotti, Marco. (November, 2023). SD-LLOD-23 Slides. Zenodo. https://doi.org/10.5281/zenodo.10079902
  • Katerina Zdravkova. (June, 2022). Resolving Inflectional Ambiguity of Macedonian Adjectives. Zenodo. https://doi.org/10.5281/zenodo.7925712
  • Košutar, Sara, Kramarić, Matea, Hržica, Gordana. (December, 2022). The relationship between narrative microstructure and macrostructure: Differences between six- and eight-year-olds. Zenodo. https://doi.org/10.2478/plc-2022-0007
  • Hržica, Gordana, Liebeskind, Chaya, Štrkalj Despot, Kristina, Dontcheva-Navratilova, Olga, Kamandulyte-Merfeldiene, Laura, Košutar, Sara, Kramarić, Matea, Valunaite Oleskeviciene, Giedre. (July, 2022). Morphological Complexity of Children Narratives in Eight Languages. Zenodo. https://doi.org/10.5281/zenodo.7477049

COST (European Cooperation in Science and Technology) is a funding agency for research and innovation networks. Our Actions help connect research initiatives across Europe and enable scientists to grow their ideas by sharing them with their peers. This boosts their research, career and innovation.