Ways of Asking and Replying in Duplicate Question Detection

João António Rodrigues, Chakaveh Saedi, Vladislav Maraev, João Silva, António Branco


Abstract
This paper presents the results of systematic experimentation on the impact in duplicate question detection of different types of questions across both a number of established approaches and a novel, superior one used to address this language processing task. This study permits to gain a novel insight on the different levels of robustness of the diverse detection methods with respect to different conditions of their application, including the ones that approximate real usage scenarios.
Anthology ID:
S17-1030
Volume:
Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017)
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
262–270
Language:
URL:
https://www.aclweb.org/anthology/S17-1030
DOI:
10.18653/v1/S17-1030
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PDF:
http://aclanthology.lst.uni-saarland.de/S17-1030.pdf