Corresponding author: Mahmoud Hammad ( m-hammad@just.edu.jo ) © Mahmoud Hammad, Mohammad Al-Smadi, Qanita Baker, Muntaha D, Nour Al-Khdour, Mutaz Younes, Enas Khwaileh. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. Citation:
Hammad MM, Al-Smadi M, Baker QB, D MA-a, Al-Khdour N, Younes MB, Khwaileh E (2020) Question to Question Similarity Analysis Using Morphological, Syntactic, Semantic, and Lexical Features. JUCS - Journal of Universal Computer Science 26(6): 671-697. https://doi.org/10.3897/jucs.2020.036 |