面向组织数字化转型的深度学习问答框架

Nuno Ramos Carvalho, L. S. Barbosa
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引用次数: 5

摘要

在政府、公共部门和其他组织进行数字化转型的背景下,许多信息正在向数字平台转移。聊天机器人和类似的问答系统在回答信息查询方面变得越来越流行,而不是浏览在线存储库或网页。这些系统的最先进的方法可能难以实现,难以培训和维护,并且还需要高水平的专业知识。这项工作探索了一个通用框架的定义,以系统地构建问答系统。该框架的沙盒实现可以直接从已经存在的文档集合中部署交钥匙系统。然后,这些系统可用于提供问答系统通信通道,以丰富组织的数字存在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deep Learning Powered Question-Answering Framework for Organizations Digital Transformation
In the context of digital transformation by governments, the public sector and other organizations, many information is moving to digital platforms. Chatbots and similar question-answering systems are becoming popular to answer information queries, opposed to browsing online repositories or webpages. State-of-the-art approaches for these systems may be laborious to implement, hard to train and maintain, and also require a high level of expertise. This work explores the definition of a generic framework to systematically build question-answering systems. A sandbox implementation of this framework enables the deployment of turnkey systems, directly from already existing collections of documents. These systems can then be used to provide a question-answering system communication channel to enrich the organization digital presence.
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