NSURL-2019 Task 8: Semantic Question Similarity in Arabic (2019-09-12T00:00:00.000000Z)

TL;DR

The results and findings of the shared task (Semantic Question Similarity in Arabic) are presented, which was organized as part of the first workshop on NLP Solutions for Under Resourced Languages.

Abstract

Question semantic similarity (Q2Q) is a challenging task that is very useful in many NLP applications, such as detecting duplicate questions and question answering systems. In this paper, we present the results and findings of the shared task (Semantic Question Similarity in Arabic). The task was organized as part of the first workshop on NLP Solutions for Under Resourced Languages (NSURL 2019) The goal of the task is to predict whether two questions are semantically similar or not, even if they are phrased differently. A total of 9 teams participated in the task. The datasets created for this task are made publicly available to support further research on Arabic Q2Q.

Authors

Haitham Seelawi

2 papers

Ahmad Mustafa

1 papers

Hesham Al-Bataineh

1 papers

TL;DR

Abstract

Authors

References32 items

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