Arabic Question Classification Using Support Vector Machines and Convolutional Neural Networks

Asma Aouichat, Mohamed Seghir Hadj Ameur, Ahmed Guessoum. Arabic Question Classification Using Support Vector Machines and Convolutional Neural Networks. In Max Silberztein, Faten Atigui, Elena Kornyshova, Elisabeth Métais, Farid Meziane, editors, Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings. Volume 10859 of Lecture Notes in Computer Science, pages 113-125, Springer, 2018. [doi]

@inproceedings{AouichatAG18,
  title = {Arabic Question Classification Using Support Vector Machines and Convolutional Neural Networks},
  author = {Asma Aouichat and Mohamed Seghir Hadj Ameur and Ahmed Guessoum},
  year = {2018},
  doi = {10.1007/978-3-319-91947-8_12},
  url = {https://doi.org/10.1007/978-3-319-91947-8_12},
  researchr = {https://researchr.org/publication/AouichatAG18},
  cites = {0},
  citedby = {0},
  pages = {113-125},
  booktitle = {Natural Language Processing and Information Systems - 23rd International Conference on Applications of Natural Language to Information Systems, NLDB 2018, Paris, France, June 13-15, 2018, Proceedings},
  editor = {Max Silberztein and Faten Atigui and Elena Kornyshova and Elisabeth Métais and Farid Meziane},
  volume = {10859},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-91947-8},
}