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
