Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/14899
Título: A QA system for learning python
Autor: Ramos, Marcos
Pereira, Maria João
Henriques, Pedro
Palavras-chave: Question&Answer systems
Natural language processing
Question&Answer databases
Python
Data: 2017
Editora: Polish Academy of Sciences
Citação: Ramos, Marcos; Pereira, Maria João; Henriques, Pedro (2017) - A QA system for learning python. In WAPL 2017- 6th Workshop on Advances in Programming Languages (FedCSIS). Praga, Republica Checa
Resumo: This article proposes a Question Answering System that can automatically answer to questions presented in a natural language about the Python programming language. A system of this kind aims at the interaction with a human. Since it is natural for a human to communicate in a natural language, such as Portuguese or English, there is a need for systems that can respond to the user in the same language. When restricted to a closed or specific knowledge domain, these systems can offer satisfiable answers to the posed questions. So, it is expected that the proposed QA System can present reasonable answers to questions about Python. After surveying this emergent working area, that is growing every day, we will present the design and implementation of a Python QA system in order to prove that it is possible to adopt a systematic approach to construct this kind of systems.
Peer review: yes
URI: http://hdl.handle.net/10198/14899
Aparece nas colecções:ESTiG - Artigos em Proceedings Não Indexados à WoS/Scopus

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