In this paper, we present a community answers ranking system which is based on Grice Maxims. In particular, we describe a ranking system which is based on answer relevancy scores, assigned by three main components: Named entity recognition, similarity score, and sentiment analysis.
TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims principles In Ranking Community Question Answers / Qwaider, Mohammed R. H.; Freihat, Abed Alhakim Ali Kayed; Giunchiglia, Fausto. - (2017), pp. 271-274. (Intervento presentato al convegno 11th International Workshop on Semantic Evaluation tenutosi a Vancouver, Canada nel 3-4 August 2017) [10.18653/v1/S17-2043].
TrentoTeam at SemEval-2017 Task 3: An application of Grice Maxims principles In Ranking Community Question Answers
Abed Alhakim Ali Kayed Freihat;Fausto Giunchiglia
2017-01-01
Abstract
In this paper, we present a community answers ranking system which is based on Grice Maxims. In particular, we describe a ranking system which is based on answer relevancy scores, assigned by three main components: Named entity recognition, similarity score, and sentiment analysis.| File | Dimensione | Formato | |
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