Chat2Doc: From Chats to How-to Instructions, FAQ, and Reports

Britta Meixner, Matthew L. Lee, S. Carter
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引用次数: 1

Abstract

Sharing multimedia via messaging apps is widely used. However, the timeline structure makes it difficult to retrieve content shared over time. It is not possible to organize accumulated knowledge so that it is concise for future use and easy access. So far, no system exists that combines the easy-to-use interface of a messaging app with a knowledge extraction system that can create multimedia documents and allows users to store and edit content for future use. In this paper, we propose a system that will enable individuals to collect, store, and automatically extract procedural knowledge from their messaging interactions. The system uses the well-known chat interface to communicate and adds the capability for users to tag text and media to organize content. It also adds a new thread-like structure to the previously only linear timeline of a chat. Knowledge from the chat can then be extracted into a high-quality multimedia document.
Chat2Doc:从聊天到如何操作说明,常见问题和报告
通过消息应用程序共享多媒体被广泛使用。但是,时间轴结构使得检索随时间共享的内容变得困难。不可能将积累的知识组织起来,使其简明扼要,以便将来使用和容易获取。到目前为止,还没有一个系统能够将信息应用程序的易于使用的界面与能够创建多媒体文档并允许用户存储和编辑内容以备将来使用的知识提取系统相结合。在本文中,我们提出了一个系统,该系统将使个人能够从他们的消息传递交互中收集、存储和自动提取程序性知识。系统采用知名的聊天界面进行通信,并增加了用户标记文本和媒体的功能来组织内容。它还为以前聊天的线性时间轴添加了一个新的类似线程的结构。然后可以将聊天中的知识提取到高质量的多媒体文档中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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