Neural Arabic Question Answering

1 code implementation • WS 2019 • Hussein Mozannar, Karl El Hajal, Elie Maamary, Hazem Hajj

Our system for open domain question answering in Arabic (SOQAL) is based on two components: (1) a document retriever using a hierarchical TF-IDF approach and (2) a neural reading comprehension model using the pre-trained bi-directional transformer BERT.

Information Retrieval Machine Reading Comprehension +4