The Conference for Machine Learning Innovation

Using Neural Networks for Natural Language Processing

Session
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✓Raspberry Pi or C64 Mini for free
✓Save up to $580
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Infos
Wednesday, September 9 2020
11:15 - 12:00

Thanks to Transformer Architectures like BERT and GPT-2, we have recently experienced the “ImageNet Moment” for Natural Language Processing (NLP). Like with Computer Vision benchmarks eight years ago, the results for various NLP tasks have improved significantly in a very short amount of time. But how to train a neural network to deal with language, with its varying input length and non-numerical data? How to compare the flat output tensor of a neural network with an expected syntax tree to compute a loss? In this talk, we will look at ways to feed language into a neural network and how to interpret its output for various common NLP tasks, like classification, sentiment analysis, Part-of-Speech (POS) tagging, Named Entity Recognition (NER) and coreference resolution. We will also see how the output of a network needs to be interpreted to create completely new text. The talk will be accompanied by real world examples based on Transformer Architectures.

This Session belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

This Session belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Munich Munich .

Take me to the full program of Zum vollständigen Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom SingaporeSingapore program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von SingaporeSingapore program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

Behind the Tracks