Web: http://arxiv.org/abs/2202.04048

Sept. 23, 2022, 1:16 a.m. | Marcos Menon José, Marcelo Archanjo José, Denis Deratani Mauá, Fábio Gagliardi Cozman

cs.CL updates on arXiv.org arxiv.org

Deep learning transformers have drastically improved systems that
automatically answer questions in natural language. However, different
questions demand different answering techniques; here we propose, build and
validate an architecture that integrates different modules to answer two
distinct kinds of queries. Our architecture takes a free-form natural language
text and classifies it to send it either to a Neural Question Answering
Reasoner or a Natural Language parser to SQL. We implemented a complete system
for the Portuguese language, using some of …

arxiv question answering sql text

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