2026-07-23T16:54:42Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:14435 2024-03-06T10:31:32Z ddc:004 open_access

Bootstrapping a Data-Set and Model for Question-Answering in Portuguese (Short Paper) Carvalho, Nuno Ramos Simões, Alberto Almeida, José João Portuguese language question answering deep learning Question answering systems are mainly concerned with fulfilling an information query written in natural language, given a collection of documents with relevant information. They are key elements in many popular application systems as personal assistants, chat-bots, or even FAQ-based online support systems. This paper describes an exploratory work carried out to come up with a state-of-the-art model for question-answering tasks, for the Portuguese language, based on deep neural networks. We also describe the automatic construction of a data-set for training and testing the model. The final model is not trained in any specific topic or context, and is able to handle generic documents, achieving 50% accuracy in the testing data-set. While the results are not exceptional, this work can support further development in the area, as both the data-set and model are publicly available. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Nuno Ramos Carvalho and Alberto Simões and José João Almeida 2021 Is Part Of OASIcs, Volume 94, 10th Symposium on Languages, Applications and Technologies (SLATE 2021) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2021.18 urn:nbn:de:0030-drops-144355 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2021.18 eng https://creativecommons.org/licenses/by/4.0/legalcode