Name: Medical Corpus
Description:  corpus from a medical care forum known as Doctissimo
Provider: Multiple institutions
Paper Title: An Arabic Multi-Domain Spoken Language Understanding System
  
Tasks: disease identification
Venue Name: International Conference on Natural Language and Speech Processing
Authors: Mohamed Lichouri,Mourad Abbas,R. Djeradi,A. Djeradi
Abstract: In this paper, we suggest the generalization of an Arabic Spoken Language Understanding (SLU) system in a multi-domain humanmachine dialog. We are interested particularly in domain portability of SLU system related to both structured (DBMS) and unstructured data (Information Extraction), related to four domains. In this work, we used the thematic approach for four domains which are School Management, Medical Diagnostics, Consultation domain and Question-Answering domain (DAWQAS). We should note that two kinds of classifiers are used in our experiments: statistical and neural, namely: Gaussian Naive Bayes, Bernoulli Naive Bayes, Logistic Regression, SGD, Passive Aggressive Classifier, Perceptron, Linear Support Vector and Convolutional Neural Network.