Skip to content

Latest commit

 

History

History
19 lines (15 loc) · 967 Bytes

README.md

File metadata and controls

19 lines (15 loc) · 967 Bytes

banner

Notebook Links

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.