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In this project we try to establish a concrete mathematical relation between common word pair relations and then to improve the performance of word embeddings by integrating word pair relations.

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SigSegvSquad/WordLink

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Problem Statement

To establish a concrete mathematical relation between common word pair relations and then to improve the performance of word embeddings by integrating word pair relations.

Approaches

Modify an Existing Word2VecModel

  • Use Pre-existing Model to establish relations (one-one) with regression.
  • Establish relationship word tuples .
  • Convert said word tuples to vector tuples using multiple word2vec models.
  • Find a subspace using regression that satisfies this relation.

Create Custom Embeddings

  • Created a model with set word relation in mind.
  • Injected word pairs of that relation while training our own word2vec model.

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In this project we try to establish a concrete mathematical relation between common word pair relations and then to improve the performance of word embeddings by integrating word pair relations.

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