A Survey on Question Answering Systems with Classification
| المصدر: | مجلة جامعة الملك سعود - علوم الحاسب والمعلومات |
|---|---|
| الناشر: | جامعة الملك سعود |
| المؤلف الرئيسي: | Mishra, Amit (Author) |
| مؤلفين آخرين: | Jain, Sanjay Kumar (Co-Author) |
| المجلد/العدد: | مج28, ع3 |
| محكمة: | نعم |
| الدولة: |
السعودية |
| التاريخ الميلادي: |
2016
|
| الصفحات: | 345 - 361 |
| DOI: |
10.33948/0584-028-003-008 |
| ISSN: |
1319-1578 |
| رقم MD: | 973955 |
| نوع المحتوى: | بحوث ومقالات |
| اللغة: | الإنجليزية |
| قواعد المعلومات: | science |
| مواضيع: | |
| كلمات المؤلف المفتاحية: |
Question Answering System | Information Retrieval | Natural Language Processing | Natural Language Under Standing | Search Engine
|
| رابط المحتوى: |
| المستخلص: |
Question answering systems (QASs) generate answers of questions asked in natural languages. Early QASs were developed for restricted domains and have limited capabilities. Current QASs focus on types of questions generally asked by users, characteristics of data sources consulted, and forms of correct answers generated. Research in the area of QASs began in 1960s and since then, a large number of QASs have been developed. To identify the future scope of research in this area, the need of a comprehensive survey on QASs arises naturally. This paper surveys QASs and classifies them based on different criteria. We identify the current status of the research in the each category of QASs, and suggest future scope of the research |
|---|---|
| ISSN: |
1319-1578 |
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