Project description
Innovative solution for contract management
Most small and medium-sized enterprises (SMEs) do not have the contractual and legal knowledge to understand contracts. There’s a need for an Innovation Associate able to develop natural language processing algorithms using machine learning and deep learning technology. With this in mind, the EU-funded Computer Linguist project will develop a contract management solution to provide understanding and interpretation of contracts. The project will develop a smart service that will be self-learning and capable of understanding contracts from several sources (procurements, sales and projects) and provide legal advice. The solution is designed to be suitable for all SMEs globally and any contract.
Objective
Ginkgo Analytics want to develop a contract management solution which understands and interprets contracts from different sources (e,g. procurement, sales, projects, Human Resources). This solves the problem that contractual and legal knowledge is rarely available in sufficient capacity in most SMEs. Therefore a smart service is developed which is self-learning and understand contracts and provides legal advise. To achieve this goal an Innovation Associate is required which is capable to develop natural language processing algorithms using machine learning and deep learning technology. The solution can be used by all SMEs globally and can be applied to all contracts which manage value generation with a total volume of several Trillion EUR.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science natural language processing
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
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H2020-EU.2.3.2.2. - Enhancing the innovation capacity of SMEs
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
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.
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.
CSA - Coordination and support action
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-INNOSUP-2018-2020
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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.
20459 Hamburg
Germany
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.