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Tuesday, May 21 • 15:00 - 16:00
Language models: how do they work and when do they work for you?

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Language models are a crucial part of many Natural Language Processing pipelines. They are used in Speech-to-Text, Part-of-Speech tagging, Machine Translation, Optical Character Recognition, Intent Classification in chatbots etc. I will explain the overall idea behind language models, how they work and what the differences between them are. A special focus will lie on word embeddings. In the last few years, several novel approaches to word embeddings have been developed: word2vec, character embeddings such as FastText, GloVe embeddings, BERT and ELMO embeddings. Although the core idea behind these types of embeddings is the same, they each have their strengths and weaknesses, making them more or less appropriate for a certain use case. Through illustration with concrete examples and linguistic fun facts, you will gain insight in the (im)possibilities that come with language models, and learn how to pick the right one for your NLP problem.

avatar for Aleksandra Vercauteren

Aleksandra Vercauteren

After spending six years doing research in theoretical linguistics, Aleksandra decided to make a radical career move. During one year, she extensively studied everything she needed to know to start a career as a data scientist, with a special focus on Natural Language Processing... Read More →

Tuesday May 21, 2019 15:00 - 16:00 CEST
Room 12