荀恩东教授：面向人工智能的语言资源研发的理论和方法

个人简介：

荀恩东，博士生导师，北京语言大学教授，主要从事自然语言处理、计算机辅助语言学习技术研究和开发工作。

Professional Profile:

Xun Endong, professor and doctoral supervisor, is mainly engaged in natural language processing and the R&D of computer-assisted language learning technology.

摘要：

知识是人工智能的核心内容，数据是知识的主要来源。面向语言智能的研究开发，语言数据资源的开发是基础性工作。本文面对语言智能应用的多样性需求，分析数据的主要形态、不同数据类型在人工智能中作用方式、语言资源开发中的管理技术、数据加工中的标注者行为和心理对数据质量的影响。

Abstract:

Knowledge is the core of Artificial Intelligence while data are the main source of knowledge. Development of language data resources is fundamental when it comes to language intelligence oriented R&D. In the face of the diverse needs of language intelligence applications, this paper analyzes main forms of data, the roles that different data types play in artificial intelligence, management technology of language resource development, as well as the impact of annotators' behaviors and mental activities on data quality in data processing.

PPT全文：