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Machine learning and natural language processing

Interaktivní osnova

Machine learning and natural language processing

2 ML techniques for NLP 1

White board Oct23

L2 Overview Of ML 1.

Penn Treebank (PTB)

On disambiguation. POS Tagging (State of the art). Flair

-> L5.2

READINGS: Categorization of Czech documents

READINGS: Fragments and Text Categorization

READINGS: A Primer on Neural Network Models for Natural Language Processing

QUESTIONS AND TASKS:

Text representations. When the ordering of words (does not) matter-s. Mining web
Main text mining tasks
ML for disambiguation
CNN for NLP

MATERIALS FOR THE LABS IN WEEK 02 (all necessary details in the notebook):

LAB 01 text mining pipeline

Předchozí

Machine learning and natural language processing
- Nyní studovat
  
  1 Course overview, project assignment overview. Overview of text pre-processing
- Nyní studovat
  
  2 ML techniques for NLP 1
- Nyní studovat
  
  3 Distributional semantics, LSA, word embeddings
- Nyní studovat
  
  4 Ne moc. Dis ease
- Nyní studovat
  
  5 ML techniques for NLP 2. Text clustering.
- Nyní studovat
  
  6 ML for NLP III: Recurrent NN. Outliers in text I.
- Nyní studovat
  
  Independent Czechoslovak State Day
- Nyní studovat
  
  8 LSTM. RNN/LSTM case studies. ILP
- Nyní studovat
  
  9 Poster session
- Nyní studovat
  
  10 Learning language in logic. Keyness. Summarization
- Nyní studovat
  
  11 Sentiment analysis (including lexicons of “sentiment words”)
- Nyní studovat
  
  12 Machine learning for knowledge extraction from text

Operace

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