Employing Sentence Context in Czech Answer Selection

Varování

Publikace nespadá pod Filozofickou fakultu, ale pod Fakultu informatiky. Oficiální stránka publikace je na webu muni.cz.

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MEDVEĎ Marek HORÁK Aleš SABOL Radoslav

Rok publikování 2020
Druh Článek ve sborníku
Konference Text, Speech, and Dialogue. TSD 2020
Fakulta / Pracoviště MU

Fakulta informatiky

Citace
Klíčová slova question answering;answer selection;Czech;answer context;morphologically rich languages
Popis Question answering (QA) of non-mainstream languages requires specific adaptations of the current methods tested primarily with very large English resources. In this paper, we present the results of improving the QA answer selection task by extending the input candidate sentence with selected information from preceding sentence context. The described model represents the best published answer selection model for the Czech language as an example of a morphologically rich language. The text contains thorough evaluation of the new method including model hyperparameter combinations and detailed error discussion. The winning models have improved the previous best results by 4% reaching the mean average precision of 82.91%.
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