Answering questions by learning to rank - Learning to rank by answering questions
@article{Pirtoaca2019AnsweringQB,
title={Answering questions by learning to rank - Learning to rank by answering questions},
author={George-Sebastian Pirtoaca and Traian Rebedea and Stefan Ruseti},
journal={ArXiv},
year={2019},
volume={abs/1909.00596}
}Answering multiple-choice questions in a setting in which no supporting documents are explicitly provided continues to stand as a core problem in natural language processing. The contribution of this article is two-fold. First, it describes a method which can be used to semantically rank documents extracted from Wikipedia or similar natural language corpora. Second, we propose a model employing the semantic ranking that holds the first place in two of the most popular leaderboards for answering… CONTINUE READING
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