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Learning Profiles in Duplicate Question Detection

Conference paper
Authors Chakaveh Saedi
João Rodrigues
João Silva
António Branco
Vladislav Maraev
Published in 2017 IEEE International Conference on Information Reuse and Integration (IRI)
Publisher IEEE
Publication year 2017
Published at
Language en
Subject categories Computational linguistics


This paper presents the results of systematic and comparative experimentation with major types of methodologies for automatic duplicate question detection when these are applied to datasets of progressively larger sizes, thus allowing to study the learning profiles of this task under these different approaches and evaluate their merits. This study was made possible by resorting to the recent release for research purposes, by the Quora online question answering engine, of a new dataset with over 400,000 pairs labeled with respect to their elements being duplicate interrogative segments.

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