You are viewing a plain text version of this content. The canonical link for it is here.
Posted to events@mxnet.apache.org by "Shi, Xingjian" <xj...@amazon.com.INVALID> on 2020/11/20 16:08:54 UTC

Apache MXNet Day Talk Proposal -- GluonNLP

Dear Organizers,

The following is the title and abstract of the talk.

Title: Practical Natural Language Processing with GluonNLP and MXNet 2.0

Abstract:

Text is everywhere. Designing models to process and understand text, or Natural Language Processing (NLP), is a rapidly evolving area in artificial intelligence. Despite advancing at an incredible speed, it is still not trivial for practitioners to apply state-of-the-art NLP models like BERT and ALBERT to their own text data. The reason is that the modern NLP techniques involve advancements in many different aspects, ranging from the low-level text preprocessing to the high-level modeling. In this introductory tutorial, we will introduce the GluonNLP toolkit and show how it can help developers solve NLP problems. Based on MXNet 2.0, GluonNLP offers a numpy-like programming interface and is fast at training and inference.

Thanks,

Xingjian Shi
Applied Scientist, AWS