Přeskočit na horní lištu Přeskočit na hlavičku Přeskočit na obsah Přeskočit na patičku

Machine learning and natural language processing

Interaktivní osnova

Machine learning and natural language processing

6 ML for NLP III: Recurrent NN. Outliers in text I.

Ai Reviews: Deep learning for NLP

Recurrent NN

NN. Intro to RNN

RNN (a chapter from A Primer on Neural Network Models for Natural Language Processing nnlp

Recurrent NN and NLP

True or false? What are the limits of deep learning?

Outlier detection in text I

Outliers in text, mostly by David Guthrie

Guthrie PhD DetectionOfAnomalousText

QUESTIONS AND TASKS:

Recurrent NN for NLP. Describe one task.
Outliers in text data.
Methods for outlier detection in text

MATERIALS FOR THE LABS IN WEEK 06 (all necessary details in the notebook):

LAB 03 document clustering classical

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

Prohlédnout vše