QA-System | QA System . | Natural Language Processing library

QA-System is a Python library typically used in Artificial Intelligence, Natural Language Processing, Pytorch, Spring Boot, Bert applications. QA-System has no bugs, it has no vulnerabilities and it has low support. However QA-System build file is not available. You can download it from GitHub.

the tasks comprises two parts: kbqa and dbqa, the former is to implement a qa system given a knowledge base, while the latter requires to select the sentences as answers from the question’s given document. for the dbqa task, we encode the question with a lstm layer and the answer with another lstm layer, then calculate the angle between these two vectors. if the answer and the question are paired, we hope these two vectors are of the same direction, otherwise let them be perpendicular to each other. finally, for a new pair of question and answer, classify them based on the angle of their hidden representation. we use keras with theano backend to run lstm. for the kbqa task, we used baseline program to identify all mentions in the corpus, then use some hand-crafted rules to identify entities in a given question.