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arXiv · 1803.02914

Translating Questions into Answers using DBPedia n-triples

Mihael Arcan
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Abstract

In this paper we present a question answering system using a neural network to interpret questions learned from the DBpedia repository. We train a sequence-to-sequence neural network model with n-triples extracted from the DBpedia Infobox Properties. Since these properties do not represent the natural language, we further used question-answer dialogues from movie subtitles. Although the automatic evaluation shows a low overlap of the generated answers compared to the gold standard set, a manual inspection of the showed promising outcomes from the experiment for further work.

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Mihael Arcan. 2018-03-07. Translating Questions into Answers using DBPedia n-triples. https://arxiv.org/abs/1803.02914

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