Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors

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.

.

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.

Jorge Gracia

Action Chair

View details
Elena Montiel

Grant Holder Scientific Representative

View details
Thierry Declerck

Science Communication Coordinator & WG 03 Co-Leader

View details
Penny Labropoulou

MC Member & Grant Awarding Coordinator

View details
Vojtech Svatek

MC Member & Grant Awarding Vice-coordinator & Task 1.4 Leader

View details
Milan Dojchinovski

MC Member & WG 01 Leader

View details
Dagmar Gromann

Action Vice Chair & WG 03 & Task 3.3 Leader

View details
Sara Carvalho

WG 04 Leader

View details
Ilan Kernerman

MC Member & WG 04 Co-Leader

View details
Anas Fahad Khan

WG 01 Co-leader & Task 1.1. Leader

View details
Patricia Martín-Chozas

WG 02 Leader

View details

RESULTS

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

  • Dimitar Trajanov, Dimitar Trajanov, Apostol, Elena-Simona, Garabík, Radovan, Gkirtzou, Katerina, Gromann, Dagmar, Liebeskind, Chaya, Palma, Cosimo, Rosner, Michael, Sampri, Alexia, Sérasset, Gilles, Spahiu, Blerina, Truică, Ciprian-Octavian, Valunaite Oleskeviciene, Giedre. (April, 2024). From Linguistic Linked Data to Big Data. Zenodo. https://doi.org/10.5281/zenodo.10956967
  • Gromann, Dagmar, Gonçalo Oliveira, Hugo, Pitarch, Lucia, Apostol, Elena-Simona, Bernad, Jordi, Bytyçi, Eliot, Cantone, Chiara, Carvalho, Sara, Frontini, Francesca, Garabik, Radovan, Gracia, Jorge, Granata, Letizia, Khan, Anas Fahad, Knez, Timotej, Labropoulou, Penny, Liebeskind, Chaya, di Buono, Maria Pia, Ostroški Anić, Ana, Rackevičienė, Sigita, Rodrigues, Ricardo, Sérasset, Gilles, Selmistraitis, Linas, Sidibé, Mahammadou, Silvano, Purificação, Spahiu, Blerina, Enriketa Sogutlu, Enriketa Sogutlu, Stanković, Ranka, Truică, Ciprian-Octavian, Valūnaitė Oleškevičienė, Giedrė, Zitnik, Slavko, Zdravkova, Katerina. (April, 2024). MultiLexBATS: Multilingual Dataset of Lexical Semantic Relations. Zenodo. https://doi.org/10.5281/zenodo.10956565
  • Mykolas Romeris University, Garabík, Radovan, Selmistraitis, Linas, Valūnaitė Oleškevičienė, Giedrė. (September, 2022). LLOD Approaches for Language Data Research and Management, International Scientific Interdisciplinary Conference. Zenodo. https://doi.org/10.5281/zenodo.10705631
  • Chiarcos, Christian, Stanković, Ranka, Ionov, Maxim, Sérasset, Gilles. (April, 2024). Bridging Computational Lexicography and Corpus Linguistics: A Query Extension for OntoLex-FrAC. Zenodo. https://doi.org/10.5281/zenodo.10933413
  • Khan, Anas Fahad, Ionov, Maxim, Chiarcos, Christian, Romary, Laurent, Sérasset, Gilles, Kabashi, Besim. (May, 2024). On Modelling Corpus Citations in Computational Lexical Resources. Zenodo. https://doi.org/10.5281/zenodo.10933623
  • Miok, Kristian, Hidalgo-Tenorio, Encarnacion, Osenova, Petya, Benıtez-Castro, Miguel-Angel, Robnik-Šikonja, Marko. (February, 2024). Multi-aspect Multilingual and Cross-lingual Parliamentary Speech Analysis. Zenodo. https://doi.org/10.5281/zenodo.10847683
  • 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

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.

www.cost.eu

https://www.cost.eu/actions/CA18209/