正则表达式生成的领域特定Factoid问答

T. Shitu, Nazia Zaman, K. Hasan
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引用次数: 1

摘要

通过自然语言问答系统来回答问题得到了高度的认可。自20世纪60年代以来,人工智能(AI)支持系统与QA广泛结合。不同的研究工作正在展开,以开发更有效,时间和空间适度的方式。QA可以通过三种不同的方式完成:借助数据库、模式匹配和正则表达式(RE)。数据库QA系统依赖于数据库中信息的可用性。模式匹配需要模式的堆积。RE只能在一些RE模式的帮助下执行任务。我们关心的是在孟加拉国铁路的一个特定领域做QA,使用RE生成。使用正则的模式匹配可以更容易地从一个大句子或一组字符串中找到一些需要的字符串。在了解自然语言的问题模式后,用自然语言进行回答,并借助正则语言映射出准确的答案,使我们的系统高效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domain Specific Factoid Question Answering by Regular Expression Generation
Answering questions through question answering (QA) system in natural language is highly acknowledged. Since 1960s, Artificial Intelligence (AI) supporting system is widely combined with QA. Different research work is spreading out for developing more efficient, time and space moderated way. QA can be done in three different ways: with the help of database, pattern matching and regular expression (RE). Database QA system depends on the availability of information in the database. Pattern matching needs mounding of patterns. RE can perform the task with the help of some RE patterns only. Our concern is doing QA on a specific domain Bangladesh Railway, using RE generation. Pattern matching with RE makes it easier to find a few needed strings from a big sentence or a set of strings. Answering in natural language after knowing its question pattern and mapping with accurate answer with the help of RE make our system efficient one.
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