阿拉伯语问答系统的挑战和机遇:当前的技术和未来的方向
Asmaa Alrayzah1,2, Fawaz Alsolami1, Mostafa Saleh1
1Faculty of Computing and Information Technology, King Abdulaziz University, Makkah, Jeddah, Saudi Arabia.
PeerJ. Computer science
|December 11, 2023
概括
本研究回顾了阿拉伯语问答 (QA) 系统,强调了由于复杂性和资源限制而处理阿拉伯语的挑战. 它确定了现有研究中的差距,并提出了质量保证技术的新分类学.
科学领域:
- 自然语言处理自然语言处理.
- 人工智能的人工智能
- 信息检索 信息检索
背景情况:
- 由于复杂的形态和有限的资源,阿拉伯语对NLP提出了独特的挑战.
- 现有的阿拉伯语问答 (QA) 系统很少,通常基于小的,不可用的数据集.
- 之前对阿拉伯语质量保证研究的审查范围有限,不涵盖最近的进展.
研究的目的:
- 系统地审查和分析现有的阿拉伯语质量保证系统.
- 确定阿拉伯语QA的局限性,担忧和未来的研究方向.
- 开发一种新的分类法来分类阿拉伯语QA技术.
主要方法:
- 基于数据集,域,问题类型和信息检索机制的阿拉伯语QA研究的分析.
- 对文献进行系统审查,以确定趋势和差距.
- 开发一种新的分类法来对质量保证技术进行分类.
主要成果:
- 确定了当前阿拉伯QA系统中使用的数据集,域和技术的限制.
- 强调需要更全面和最新的审查.
- 提出了一种新的分类法来对阿拉伯语QA方法进行分类.
结论:
- 在开发强大的阿拉伯语质量保证系统方面,仍然存在重大挑战.
- 需要进一步的研究来解决资源的局限性,并探索先进的NLP技术.
- 拟议的分类学为理解和推进阿拉伯语QA研究提供了一个结构化的框架.
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