CS685: Advanced Natural Language Processing

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About Course

Natural Language Processing (NLP) will be taught by an experienced specialist in this course. 

Giving machines the ability to interpret unstructured data extracted from natural language has a lot of potentials. In this course, I cover a wide range of NLP subjects. I explain NLP ideas in a straightforward manner, including examples in Python utilizing libraries such as NLTK, spaCy, and TensorFlow. I also talk about text pre-processing, text classification, text summarization, topic modeling, and word embeddings, among other things. I also discuss NLP applications in a variety of fields, such as healthcare and finance.

This course is for 
beginners who wish to learn about Natural Language Processing from an experienced professional in a hands-on manner. Python programmers who want to learn more about natural language processing.

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What Will You Learn?

  • Natural Language Processing: Concepts and Applications
  • Python, TensorFlow, spaCy, and gensim libraries are used to implement Natural Language Processing techniques.

Course Content

UMass CS685 (Advanced NLP): course introduction

  • UMass CS685 (Advanced NLP): Language modeling
    00:00
  • UMass CS685 (Advanced NLP): Neural language models
    00:00
  • UMass CS685 (Advanced NLP): Final projects
    00:00
  • UMass CS685 (Advanced NLP): Backpropagation
    00:00
  • UMass CS685 (Advanced NLP): Implementing a neural language model in PyTorch
    00:00
  • UMass CS685 (Advanced NLP): Attention mechanisms
    00:00
  • UMass CS685 (Advanced NLP): Transformers and sequence-to-sequence models
    00:00
  • UMass CS685 (Advanced NLP): Transfer learning for NLP
    00:00
  • UMass CS685 (Advanced NLP): BERT
    00:00
  • UMass CS685 (Advanced NLP): Scaling up language modeling & GPT-3
    00:00
  • UMass CS685 (Advanced NLP): Text generation decoding and evaluation
    00:00
  • UMass CS685 (Advanced NLP): Paraphrase generation
    00:00
  • UMass CS685 (Advanced NLP): Crowdsourced text data collection
    00:00
  • UMass CS685 (Advanced NLP): Model distillation and security threats
    00:00
  • UMass CS685 (Advanced NLP): Retrieval-augmented language models
    00:00
  • UMass CS685 (Advanced NLP): Implementing a Transformer
    00:00
  • UMass CS685 (Advanced NLP): vision + language
    00:00
  • UMass CS685 (Advanced NLP): exam review
    00:00
  • UMass CS685 (Advanced NLP): Intermediate fine-tuning
    00:00
  • UMass CS685 (Advanced NLP): ethics in NLP
    00:00
  • UMass CS685 (Advanced NLP): probe tasks
    00:00
  • UMass CS685 (Advanced NLP): semantic parsing
    00:00
  • UMass CS685 (Advanced NLP): commonsense reasoning (guest lecture by Lorraine Li)
    00:00

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