Collaborations

The project ELEXIS proposes to integrate, extend and harmonise national and regional efforts in the field of lexicography, both modern and historical, with the goal of creating a sustainable infrastructure which will (1) enable efficient access to high quality lexical data in the digital age, and (2) bridge the gap between more advanced and lesser-resourced scholarly communities working on lexicographic resources. The need for such an infrastructure has clearly emerged out of the lexicographic community within the European Network of e-Lexicography COST Action which will end in 2017.

Current lexicographic resources, both modern and historical, have different levels of structuring and are not equally suitable for application in other fields, e.g. Natural Language Processing. The project will develop strategies, tools and standards for extracting, structuring and linking lexicographic resources to unlock their full potential for Linked Open Data and the Semantic Web, as well as in the context of digital humanities.

The project will help researchers create, access, share, link, analyse, and interpret heterogeneous lexicographic data across national borders, paving the way for ambitious, transnational, data-driven advancements in the field, while significantly reducing a duplication of effort across disciplinary boundaries.

ELEXIS will be carried out by a balanced consortium with distributed geographical origins. It is composed of content-holding institutions and researchers with complementary backgrounds - lexicography, digital humanities, language technology and standardisation - a crucial feature required to address the multi-disciplinary objectives of the project. In cooperation with CLARIN and DARIAH, it will focus on defining and providing common interoperability standards, workflows, conceptual models and data services as well as training and education activities focusing on user needs and cross-disciplinary fertilisations.

Project title:
ELEXIS -  European Lexicografic Infrastructure

Funding:
H2020-EU
H2020-EU.1.4.1.2. - Integrating and opening existing national and regional research infrastructures of European interest
Topic(s): INFRAIA-02-2017 - Integrating Activities for Starting Communities
Funding Scheme: RIA - Research and Innovation action

Period:
2018-2022

Coordinator:
Institut Jozef Stefan in Slovenia

Beginning of collaboration:
April 2019

UVT Team:
Dr Mădălina Chitez
Dr Roxana Rogobete

Info about UVT in ELEXIS:
https://elex.is/portfolio-item/uvt/

Project website:
https://elex.is/

LiRo (Limba Română) provides a benchmark for Romanian language tasks and is a project designed by a group of Romanians with expertise in Machine Learning, NLP, linguistics, and data privacy. The goal is to accelerate progress in AI research on Romanian language tasks. The project keeps track of performance of different published models on the datasets and tasks. This allows easy comparison of different models and monitoring progress on these tasks and datasets over time.

 

Team:

• Adriana Stan, Associate Professor (Technical University of Cluj-Napoca)

• Andrei-Marius Avram, MSc student (Politehnica University of Bucharest)

• Andrei Pruteanu, NLP Independent Researcher

• Beáta Lőrincz, PhD student (”Babeș-Bolyai” University, Technical University of Cluj-Napoca)

• Cristina Victoria Iacobescu, Attorney-at-law, Reff & Associates (member of Deloitte Legal)

• Gabriel Marchidan, (Feel IT Services, AIRomania)

• George-Andrei Dima, MSc student (Politehnica University of Bucharest)

• Lorena Roșia, Attorney-at-law, Reff & Associates (member of Deloitte Legal)

• Luciana Morogan, Associate Professor (Military Technical Academy Ferdinand Bucharest)

• Madalina Chitez, Researcher (West University of Timisoara, CODHUS Research Centre)

• Mihai Ilie, NLP Independent Researcher

• Petru Rebeja, PhD student (Alexandru Ioan Cuza University of Iași, AIRomania)

• Radu Tudor Ionescu (University of Bucharest)

• Razvan Pascanu, Research Scientist (DeepMind, EEML, AIRomania)

• Ștefan Daniel Dumitrescu, NLP Independent Researcher

• Traian Rebedea, Associate Professor (Politehnica University of Bucharest)

• Viorica Patraucean, Research Scientist (DeepMind, EEML, AIRomania)

Source: information extracted from the LiRo webpage.

 

Project title:
LiRo (Limba Română) Benchmark

Period:
2020- ongoing

Beginning of collaboration:
July 2020

UVT Team:
Dr habil Mădălina Chitez
Dr Roxana Rogobete

Data set from UVT for LiRo:
https://github.com/dumitrescustefan/RO-STS

Project website:
https://lirobenchmark.github.io/

LITHME is a COST Action network with members from every EU member state, plus a number of other countries outside the EU.

Aims:

1. to prepare linguistics and its subdisciplines for what is coming;

2. to facilitate longer term dialogue between linguists and technology developers.

How will pervasive augmentation technology affect language in areas such as international law, translation, and other forms of language work? What will this mean for how people identify with specific languages? Could increasing reliance on real-time language technologies actually change the structure of language? Longer term, could developments in brain-machine interfaces serve to complement or even supersede language altogether? Linguistics will be far stronger for robust technological foresight, while developers will benefit from better understanding potential linguistic and societal consequences of their creations.

Meanwhile LITHME will shine a light on the ethical implications of emerging language technologies. Inequality of access to technologies, questions of privacy and security, new vectors for deception and crime; these and other critical issues would be kept to the fore. LITHME will equip linguists and stakeholders for the human-machine era.

Project title:
LITHME  - Language in the Human-Machine Era

Funding:
COST Action CA19102

Period:
2020 – 2024

Action Chair:
Dave Sayers (University of Jyväskylä)

Inclusion in LITHME as MC Substitute for Romania:
December 2020

UVT Team:
Dr habil Mădălina Chitez
Dr Roxana Rogobete
Dr Loredana Bercuci

Project website:
https://lithme.eu/

KNOSIS AI is a marketplace where human knowledge and attention join Machine Learning algorithms to create Hybrid Intelligence, capable of de/coding, classifying and processing visual/textual patterns from images through computer vision technology, and – soon – multi-lingual and natural language models. In this manner, KNOSIS wants to become a universal dictionary of concepts from which humans and machines alike can learn in a symbiosis that is asymptotic to perfection.”

In collaboration with KNOSIS, CODHUS plans on creating and promoting a didactic app that adopts and integrates AI in the teaching-learning-evaluation process in a useful and fun manner.

Project title:
AI for teaching in the Humanities

Period:
2020 – 2022

Coordinator:
Bogdan Bocșe

Beginning of collaboration:
September 2020

KNOSIS webpage:
https://knosis.ai/