Year: 2013
Type: article
Abstract: Developing Question Answering systems has been one of the important research issues because it requires insights from a variety of disciplines, including, Artificial Intelligence, Information Retrieval, Information Extraction, Natural Language Processing, and Psychology. In this paper we realize a formal model for a lightweight semantic-based open domain yes/no Arabic question answering system based on paragraph retrieval (with variable length).We propose a constrained semantic representation.Using an explicit unification framework based on semantic similarities and query expansion (synonyms and antonyms).This frequently improves the precision of the system.Employing the passage retrieval system achieves a better precision by retrieving more paragraphs that contain relevant answers to the question; It significantly reduces the amount of text to be processed by the system.
Authors: Wafa N Bdour, Natheer K. Gharaibeh
Institution: Al-Balqa Applied University
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W1977582082