Abstract Question Answering System has the ability to present an answer based on a
question submitted by the user in natural languages. This system consists of question …

Question Answering (QA) systems provide accurate answers to questions; however, they
lack the ability to consolidate data from multiple sources, making it difficult to manage …

Instances classification with the small dataset for Quran ontology is the current research
problem which appears in Quran ontology development. The existing classification …

This paper describes a question answering framework that can answer student questions
given in natural language. We suggest a methodology that makes use of reliable resources …

As one of Artificial Intelligence (AI) applications, Question Answering (QA) stands at the
intersection of Natural Language Processing (NLP), Information Retrieval (IR), knowledge …

Question Answering (QA) systems return concise answers or answer lists based on natural
language text, which uses a given context document. Many resources go into curating QA …

Question Answering (QA) has become a popular topic of research in the Natural Language
Processing (NLP) community in recent years. This means that researchers and enthusiasts …

Question Answering (QA) systems that operate over textual databases aim at improving
traditional information retrieval systems; while the latter recover a number of relevant …

Answer extraction is the core technology of question answering (QA) system. Most of the
previous works were based on syntactic features and knowledge base, which highly …

Question Answering (QA) has become a popular topic of research in the Natural Language
Processing (NLP) community in recent years. This means that researchers and enthusiasts …