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Learning Distributional Semantics with the SGNS Model

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Learning Distributional Semantics with the SGNS Model

Without ML libraries in this in this assignment, I implemented the SkipGram model with Negative Sampling (SGNS).

Additionally, I implement a Semantle game on "Harry Potter" first book.

Objectives:

  • Better understanding of the training process based on word corpus.
  • Better understand the logistic regression and the use of Loss functions, Gradient descent and back propagation.
  • Better understand distributional semantics, uses and limitations.
  • Get hands-on experience with probabilistic language models by implementing the entire algorithmic pipeline.

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Learning Distributional Semantics with the SGNS Model

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