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CNN-RelationExtraction

Convolution neural network for relation classification between two given entities

The CNN architecture implemented is inspired be Nguyen et al. 2015 in which for each: CNN architecture showing the two embeddings included: word vector embeddings and position embeddings

##Future work:

  • Implementing additional crafted features to vectorizers/relationmentionvectorizer.py such as pos tags and dependency relations.
  • Implementing sentence based features : in which additional sentence based features are added including two head words to find relations between them
    CNN architecture showing two different features: Sentence level features and Word based features

References: