Artificial Intelligence; Information Extraction
[Closed]
Work description
The training area of the scholarship is Artificial Intelligence, with a focus on the field of multi-modal information extraction from documents. In particular, a central component of the work will be the identification and characterisation of models with potential application in this field, and the development of a benchmark for the automatic and objective evaluation of these models. Specifically, the main activities to be carried out by the scholarship holder are: - Systematically researching, analysing and characterising models with applicability to the problem of information extraction, with a focus on multi-modal models; - Creating a diverse documentary database, and the corresponding manual extraction and structured storage of relevant information, in order to create a benchmark for the objective and automatic evaluation of models; - Collaborating in the implementation of a pipeline for the extraction of documentary information, with the respective performance evaluation, in accordance with the benchmark defined in the previous point; - Collaborating in the writing of technical-scientific documents and the writing of the scholarship activity report.
Academic Qualifications
-A student studying computer engineering, information systems or a related area;
Preference factors
- Experience in using machine learning and/or data analysis tools and techniques, particularly for extracting information; - Experience in developing decision support systems.
Application Period
Since 12 Dec 2024 to 26 Dec 2024
[Closed]
Centre
Enterprise Systems Engineering