Deep learning-based approach for Arabic open domain question answering.

ABSTRACT: Open-domain question answering (OpenQA) is one of the most challenging yet widely investigated problems in natural language processing. It aims at building a system that can answer any given question from large-scale unstructured text or structured knowledge-base. To solve this problem, researchers traditionally use information retrieval methods to retrieve the most relevant documents and then use answer extractions techniques to extract the answer or passage from the candidate documents. In recent years, deep learning techniques have shown great success in OpenQA by using dense representation for document retrieval and reading comprehension for answer extraction. However, despite the advancement in the English language OpenQA, other languages such as Arabic have received less attention an

SUBMITTER: Alsubhi K 

PROVIDER: S-EPMC9138168 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature