A Question Answering and Quiz Generation Chatbot for Education

A. S. Sreelakshmi, S. B. Abhinaya, Aishwarya Nair, S. Jaya Nirmala
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引用次数: 18

Abstract

In recent years, there have been a number of chatbots developed in the field of education. While many of them are designed to answer queries based on publicly available information such as in community answering platforms, or from a predefined knowledge base, there is no possibility of customizing the information to be queried. Moreover, there are no existing chatbots capable of generating self assessment quizzes based on any given document. This paper proposes a Question Answering and Quiz Generation Chatbot that allows a user to upload relevant documents and perform two main functions on them, namely answer extraction and question generation. The uploaded document is converted into a knowledge base through a number of data cleaning and preprocessing steps. The Question Answering module uses ranking functions and neural networks to extract the most appropriate answer from the knowledge base and the Quiz Generation module identifies key sentences and generates question-answer pairs, which can be used to generate a quiz for the user.
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面向教育的问答一代聊天机器人
近年来,在教育领域开发了许多聊天机器人。虽然它们中的许多被设计为基于公共可用信息(如社区回答平台)或预定义知识库来回答查询,但不可能自定义要查询的信息。此外,目前还没有能够根据任何给定文档生成自我评估测验的聊天机器人。本文提出了一个问答和问答生成聊天机器人,用户可以上传相关文档,并对其进行答案提取和问题生成两个主要功能。通过一系列数据清理和预处理步骤,将上传的文档转换为知识库。问答模块使用排序函数和神经网络从知识库中提取最合适的答案,问答生成模块识别关键句子并生成问答对,用于为用户生成问答。
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