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Computational Analysis of Semantic Change Across Different Environments

Project description

Bridging the textual data skills gap

The rapid growth of digital information has led to a ‘data deluge’, with vast amounts of textual data needing analysis. However, there is a skills gap in academia, public institutions, and industry for effectively using this data. Supported by the Marie Skłodowska-Curie Actions programme, the CASCADE addresses this gap by training early-stage researchers in the computational analysis of how language meaning evolves over time. This international consortium, including universities and companies from Belgium, Finland, Ireland, Germany, and the UK, offers innovative training and collaborative research projects. Researchers will develop new software, publish co-authored articles, and contribute to public knowledge through Wikipedia. CASCADE emphasises computational linguistics and humanities, providing valuable skills for semantically-aware information retrieval across various sectors.

Objective

This network aims to train early-stage researchers to develop and apply innovative methodologies for Computational Analysis of Semantic Change Across Different Environments (CASCADE), i.e. to identify, analyse and interrogate how meaning is expressed in language in diverse contexts, with a shared focus on the impact of time (diachronic text analytics).

CASCADE responds to a skills deficit within the academic, public and commercial sectors: the need for people able to retrieve, critically evaluate and make better use of the large volumes of textual data that characterise our contemporary information society (the ‘data deluge’). The consortium is a collaboration of some of Europe’s world-leading universities and companies from the United Kingdom, Belgium, Finland, Ireland, and Germany.

The overall training approach will consist of beneficiaries 'matching up' to host and support 10 individual research projects, in addition to 10 secondments, and reinforced by a programme of network-wide Training Camps and Research Conventions. The key deliverables from each research project, in addition to the anticipated doctoral theses for ESRs 1 to 10, will include 12 co-authored articles for experts, Wikipedia articles for a general audience, and new software and algorithms.

The network's unique selling point for potential researchers is its emphasis on computational linguistics and humanities scholarship as skills that bring value and competitive edge to organisations concerned with semantically-aware information retrieval. These organisations might be academic or commercial, involved in early stage R&D (methods development) or early adoption of new methods (methods application).

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks

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Call for proposal

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(opens in new window) HORIZON-MSCA-2022-DN-01

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Coordinator

UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 572 976,00
Total cost

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No data

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