The two main objectives of the STSM were to: (i) work on the construction of a multilingual semantic vocabulary of discourse markers as LLOD, and (ii) prepare a roadmap for future research.
DetailsThe two main objectives of the STSM were to: (i) work on the construction of a multilingual semantic vocabulary of discourse markers as LLOD, and (ii) prepare a roadmap for future research.
DetailsThe two main objectives of the STSM were to: (i) work on the construction of a multilingual semantic vocabulary of discourse markers as LLOD, and (ii) prepare a roadmap for future research.
DetailsThe two main objectives of the STSM were to: (i) work on the construction of a multilingual semantic vocabulary of discourse markers as LLOD, and (ii) prepare a roadmap for future research.
DetailsThe two main objectives of the STSM were to: (i) work on the construction of a multilingual semantic vocabulary of discourse markers as LLOD, and (ii) prepare a roadmap for future research.
DetailsCheerful, friendly, warm, intelligent and dynamic. That’s how Thierry was like. Shocking, unexpected, terrible, devastating and painful. That’s how his loss has been. In a world ruled by deadlines, bureaucracy and impossible requirements, Thierry was a breath of fresh air. His way of seeing life, in a calm and relaxed way, enjoying every minute, made…
DetailsOn 21-22 September, 2022, Faculty of Human and Social Studies of Mykolas Romeris University organized an international scientific conference “LLOD Approaches for Language Data Research and Management (LLODREAM 2022)” supported by the COST Action NexusLinguarum. During the Conference, keynote presentations were delivered by Ass. Prof. Dr. Dagmar Gromann (University of Vienna, Centre for Translation Studies) and senior researcher Dr. Jorge Gracia (Zaragoza University, Department of Computer Science).
DetailsLanguage, Data and Knowledge (LDK) aims at bringing together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. With the advent of the Web and digital technologies, an ever increasing amount of language data is now available across application areas and industry sectors, including social media, digital archives, company records, etc. The efficient and meaningful exploitation of this data in scientific and commercial innovation is at the core of data science research, employing NLP and machine learning methods as well as semantic technologies based on knowledge graphs.
DetailsThe two main objectives of the STSM were to: (i) work on the construction of a multilingual semantic vocabulary of discourse markers as LLOD, and (ii) prepare a roadmap for future research.
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