Open AccessA Brief Survey of Question Answering Systems
Author(s) -
Michael Caballero
Publication year - 2021
Publication title -
international journal of artificial intelligence and applications
Language(s) - English
Resource type - Journals
eISSN - 0976-2191
pISSN - 0975-900X
DOI - 10.5121/ijaia.2021.12501
Subject(s) - question answering , computer science , field (mathematics) , domain (mathematical analysis) , natural language , open research , architecture , artificial intelligence , natural language understanding , data science , natural language processing , information retrieval , world wide web , art , mathematical analysis , mathematics , pure mathematics , visual arts
Question Answering (QA) is a subfield of Natural Language Processing (NLP) and computer science focused on building systems that automatically answer questions from humans in natural language. This survey summarizes the history and current state of the field and is intended as an introductory overview of QA systems. After discussing QA history, this paper summarizes the different approaches to the architecture of QA systems -- whether they are closed or open-domain and whether they are text-based, knowledge-based, or hybrid systems. Lastly, some common datasets in this field are introduced and different evaluation metrics are discussed.