论文标题
基于规则的开放域问答系统的设计和开发在小队V2.0数据集上
Design and Development of Rule-based open-domain Question-Answering System on SQuAD v2.0 Dataset
论文作者
论文摘要
人类的思想是寻求答案的好奇问题的宫殿。通过自然语言处理技术可以解决这一挑战的计算解决方案。诸如机器学习和深度学习之类的统计技术需要大量的数据进行训练，尽管他们无法利用语言的细微差别。这样的系统通常在近域数据集上表现最好。我们已经提出了基于规则的开放域问答系统的开发，该系统能够从相应的上下文段落中回答任何域的问题。我们已经使用了Squad 2.0数据集中的1000个问题来测试开发的系统，并给出令人满意的结果。在本文中，我们描述了开发系统的结构，并分析了性能。
Human mind is the palace of curious questions that seek answers. Computational resolution of this challenge is possible through Natural Language Processing techniques. Statistical techniques like machine learning and deep learning require a lot of data to train and despite that they fail to tap into the nuances of language. Such systems usually perform best on close-domain datasets. We have proposed development of a rule-based open-domain question-answering system which is capable of answering questions of any domain from a corresponding context passage. We have used 1000 questions from SQuAD 2.0 dataset for testing the developed system and it gives satisfactory results. In this paper, we have described the structure of the developed system and have analyzed the performance.
