Blog Post on “The Working Group 2 journey so far”
Presenting the actual work of WG2 “Linked data-aware NLP services” of NexusLanguarum.
Conference on Terminology and Specialized Knowledge Representation. New Perspectives on User Needs
Terminology and Specialized Knowledge Representation. New Perspectives on User Needs Meeting Dates: June 9, 2022 – June 10, 2022 Venue: Rijeka, Faculty of Law Website: https://www.jezik.hr/tesk2022/ DESCRIPTION The international conference Terminology and Specialized Knowledge Representation. New Perspectives on User Needs is organized within the research project the Dynamicity of Specialized Knowledge Categories (DIKA), financed by the Croatian Science Foundation (HRZZ). The project focuses…
Third Plenary
The third plenary meeting of NexusLinguarum took place in Skopje, at the Faculty of Computer Science and Engineering of the University Ss Cyril and Methodius. Meeting Dates: 28- 30 September 2021 Venue: Skopje, North Macedonia (and online) Organiser Institution: Faculty of Computer Science and Engineering of the University Ss Cyril and Methodius Organiser Contact: Dimitar Taskovski
Corpus Analysis of Covid and health-related metaphors
Dates: August 15, 2021 to August 30, 2021 Duration: 16 days Applicant: Liudmila Mockiene Venue: Sofia, Bulgaria Host Institution: Institute of Information and Communication Technologies at Bulgarian Academy of Sciences, Department of AI and Language Technologies. Host: Petya Osenova Involved WGs: WG4 DESCRIPTION The aim of the STSM was the extension of multilingual resources, i.e.…
Rights Management of Linguistic Linked Data
Dates: 2021-07-12 to 2021-07-31 Duration: 19 days Applicant: Víctor Rodríguez Doncel Venue: Athens, Greece Host Institution: Institute for Language and Speech Processing (ILSP) Host: Penny Labropoulou Involved WGs: WG1 DESCRIPTION Víctor Rodríguez-Doncel is Associate Professor in the Artificial Intelligence departament at Universidad Politécnica de Madrid, in Spain. During this summer, Víctor spent some weeks doing…
Generation, representation and exploitation of terminologies in the Semantic Web
Dates: 1st July 2021- 30th September 2021 Duration: 3 months Applicant: Patricia Martín-Chozas Venue: Saarbrücken, Germany Host Institution: DFKI GmbH Host: Thierry Declerck Involved WGs: WG1 and WG2 DESCRIPTION This STSM was motivated by the prior cooperation of the applicant group (Ontology Engineering Group) with the Speech and Language Technology lab of DFKI GmbH (Berlin) in…
Dictionary Metadata
Dates: September 6, 2021 to October 15, 2021 Duration: 6 weeks Applicant: David Lindemann Venue: Athen, Greece (online, supported by a Virtual Mobility grant) Host Institution: Institute for Language and Speech Processing (ILSP), Athens (Greece) Host: Penny Labropoulou Involved WGs: WG1 DESCRIPTION .7.17 2.7.0_20181002-1711 The objective of this VM grant was to prepare the ground…
Researching discourse markers expressing opinion with machine learning techniques in a multilingual corpus
Dates: August 16, 2021 to August 30, 2021 Duration: 14 days Applicant: Giedre Valunaite Oleskeviciene Venue: Sofia, Bulgaria Host Institution: Mozaika, Ltd. Host: Dr Mariana Damova Involved WGs: WG4 DESCRIPTION Sofia STSM by Giedre Valunaite Oleskeviciene The STSM “Researching discourse markers expressing opinion with machine learning techniques in a multilingual corpus” held at the Mozaika…
Exchange experience and know-how on using Machine Learning (ML) methods
Dates: August 30, 2021 to September 9, 2021 Duration: 11 days Applicant: Kostadin Mishev Venue: Sofia, Bulgaria Host Institution: Mozaika, Ltd, Host: Dr Mariana Damova Involved WGs: WG4 DESCRIPTION Kostadin Mishev, from Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje carried out an STSM at Mozaica Ltd, Sofia, working together…
Blog Post on the WG4 “Abusive language dataset annotation” workshop
The Working Group 4 Use Case in Incivility in Media and Social Media (UC4.1.1) is involved in researching offensive language, exploring its recognition and identification methods in various everyday texts which might contain abusive content. Offensive language research may lead to establishing algorithms that spot offensive content and enable automatic protection of users from undesirable messages.