Uma abordagem com busca semântica e modelo de linguagem para responder a perguntas do contexto @CCC.

Abstract

The science of extracting data from textual information has made significant advancements. With the rapid technological evolution in the field of Natural Language Processing (NLP), language models are able to provide complete and concise results from textual inputs. Currently, information about the undergraduate program in Computer Science at UFCG is scattered across various documents, spreadsheets, and web links, which can result in obstacles for the student to obtain accurate information about the course and its aspects. This situation can potentially create difficulties in the resolution of doubts. In light of this, this work proposes to utilize techniques from the field of NLP and Machine Learning to build a tool capable of generating automatic answers to questions in the context of the undergraduate Computer Science course at the Federal University of Campina Grande.