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NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic

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arxiv 1909.09691 v1 pith:GPCNOVMX submitted 2019-09-12 cs.CL cs.LGstat.ML

NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic

Haitham Seelawi , Ahmad Mustafa , Hesham Al-Bataineh , Wael Farhan , Hussein T. Al-Natsheh This is my paper
classification cs.CL cs.LGstat.ML
keywords taskquestionarabicsemanticsimilarityquestionssharedanswering
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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.

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