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Beijing, CN

深度学习时代的数据科学和自然语言处理

此演讲使用中文 (This will be presented in Chinese)

Yinyin Liu (Intel AI)
11:1511:55 Thursday, April 12, 2018
模型与方法 (Models and Methods)
Location: 多功能厅6A+B(Function Room 6A+B)
Secondary topics:  自然语言与语音技术(Natural Language and Speech Technologies)

您将学到什么 (What you'll learn)

  • 探索一些自然语言处理的最新进展、实践和数据资源,以及使用Intel的Nervanan Platform的企业自然语言处理的应用案例。

描述 (Description)

自然语言处理(NLP)带给计算机理解人类语言的能力。NLP利用深度学习最新算法发展例如文档理解之类的应用,使公司能够筛查海量文本,分类并找到相关信息。本议题我们将讨论深度学习最新发展如何影响处理文本、语言及基于对话应用,并启发了利用数据的新方向。我们还将讨论几个使用Intel® AI技术的NLP企业案例。

Photo of Yinyin Liu

Yinyin Liu

Intel AI

Yinyin Liu is the head of data science for AIPG at Intel, where she works with a team of data scientists on applying deep learning and Intel Nervana technologies to business applications across different industry domains and driving the development and design of the Intel Nervana platform. She and the Intel AI Products Group team have developed open source deep learning frameworks, such as neon and Intel Nervana Graph, bringing state-of-the-art models on image recognition, image localization, and natural language processing into the frameworks. Yinyin has research experience in computer vision, neuromorphic computing, and robotics.