An Arabic question-answering system for factoid questions

Brini, Wissal; Ellouze, Mariem; Mesfar, Slim; Belguith, Lamia Hadrich

doi:10.1109/nlpke.2009.5313730

Cited by 27 publications

(35 citation statements)

References 6 publications

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“…The Arabic Web Question Answering (QA) chatbot [2], [15] is a web interface chatbot based on an Arabic QA corpus, that was built from five different web pages with 412 Arabic question and answer. Those web pages" cover topics such as motherhood and pregnancy, dental care, fasting and health, blood disease such as cholesterol and diabetes, and blood charity.…”

Section: ) Aiml Approachmentioning

confidence: 99%

Arabic Chatbots: A Survey

Alhumoud¹,

Wazrah²,

Aldamegh³

2018

ijacsa

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Abstract-A Chatbot is a programmed entity that handles human-like conversations between an artificial agent and humans. This conversation has attracted the attention of researchers who are interested in the interaction between humans and machines to make the conversation more rational and hence pass the Turing test. The available research done in the field of Arabic chatbots is comparably scarce. This paper presents a review of the published Arabic chatbots studies to identify the gap of knowledge and to highlight the areas that needs more study and research. This study concluded the rarity of available research on Arabic chatbots and that all available works are retrieval based.

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Section: ) Aiml Approachmentioning

confidence: 99%

Arabic Chatbots: A Survey

Alhumoud¹,

Wazrah²,

Aldamegh³

2018

ijacsa

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“…The question analysis module in QASAL [14] starts by using a set of linguistic resources in NooJ 1 that is applied to the given question to analyze and annotate it. Then, NooJs graph editor was used to carry out some local grammars.…”

Section: Fig 1: Generic Architecture Of the Typical Question Answerimentioning

confidence: 99%

“…In QASAL [14], the passage retrieval module starts to select one or more regular expressions from those which are generated in the previous module. Then, applies those expressions to the answer text in order to identify the potential answers.…”

Section: Fig 1: Generic Architecture Of the Typical Question Answerimentioning

confidence: 99%

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Arabic Text Question Answering from an Answer Retrieval Point of View: a survey

Sati¹,

Ali²,

Abdou³

2016

ijacsa

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Abstract-Arabic Question Answering (QA) is gaining more importance due to the importance of the language and the dramatic increase in online Arabic content. The goal of this article is to review the state-of-the-art of Arabic QA methods, to classify them into different categories from an answer retrieval viewpoint and to present their applications, issues and new trends. The main components of question answering systems are also presented. Finally, this survey provides a comparative study of systems of each type of QA based on several criteria.

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“…• QASAL (2009) [22] is a stand-alone Arabic QA system for factoid questions which uses the NooJ platform [24] as a linguistic development environment. The system takes advantage of some linguistic techniques from IR and NLP to process Arabic text documents containing answers to factoid questions.…”

Section: Related Workmentioning

confidence: 99%