Deep learning is providing new opportunities for and solutions to natural language processing problems, enabling new approaches for text, language, and conversation-based use cases. Given that these approaches are often data driven and aim to provide end-to-end functionalities, they have also inspired new ways of looking for data resources. Yinyin Liu shares the latest NLP advances, practices, and resources for data and explores enterprise NLP use cases using the Intel Nervana platform.
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.
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