Natural Language Processing and Understanding

Introduction to NLP e NLU. Distributional Lexical Semantics. Lexical Semantics. Sentiment analysis. Machine Learning methods applied to NLP and NLU. Natural Language Inference. Language modeling. Sentence understanding. Word embeddings.

Informações Básicas

Carga horária
45 horas

Obrigatória: 

  • Speech and Language Processing. Dan Jurafsky and Jim martin. 2014
  • Neural Network methods for Natural Language Processing. Yoav Goldberg. 2017
  • Foundations of Statistical Natural Language Processing. Manning and Schütze. 1999

Complementar: 

  • Python Natural Language Processing: Advanced machine learning and deep learning techniques for natural language processing. Jalaj Thanaki. 2017
  • Natural Language Processing with Python Cookbook: Over 60 recipes to implement text analytics solutions using deep learning principles. Krishna Bhavsar and Naresh Kumar. 2017
  • Deep Learning in Natural Language Processing. Li Deng and Yang Liu. 2018
  • Deep Learning with Text: Natural Language Processing (Almost) from Scratch with Python and spaCy. Patrick Harrison and Matthew Honnibal. 2018
  • Natural Language Understanding in a Semantic Web Context. Caroline Barrière. 2016.
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