• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>Thirteenth workshop on innovative use of NLP for building educational applications 2018 >Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models
【24h】

Toward Data-Driven Tutorial Question Answering with Deep Learning Conversational Models

机译：使用深度学习会话模型实现数据驱动的教程问题解答

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

There has been an increase in popularity of data-driven question answering systems given their recent success. This paper explores the possibility of building a tutorial question answering system for Java programming from data sampled from a community-based question answering forum. This paper reports on the creation of a dataset that could support building such a tutorial question answering system and discusses the methodology to create the 106,386 question strong dataset. We investigate how retrieval-based and generative models perform on the given dataset. The work also investigates the usefulness of using hybrid approaches such as combining retrieval-based and generative models. The results indicate that building data-driven tutorial systems using community-based question answering forums holds significant promise.
机译：鉴于最近获得成功的数据驱动型问答系统，它们的普及程度有所提高。本文探讨了从基于社区的问题解答论坛中采样的数据构建用于Java编程的教程问题解答系统的可能性。本文报告了一个数据集的创建，该数据集可以支持构建这样的教程问题回答系统，并讨论了创建106,386个问题强数据集的方法。我们研究了基于检索和生成的模型如何在给定的数据集上执行。这项工作还研究了使用混合方法（如将基于检索的模型和生成模型相结合）的有用性。结果表明，使用基于社区的问题回答论坛来构建数据驱动的教程系统具有重大前景。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号