Details
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Task
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Status: Open
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Major
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Resolution: Unresolved
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Description
GloVe is an unsupervised learning algorithm for obtaining vector representations for words. Training is performed on aggregated global word-word co-occurrence statistics from a corpus, and the resulting representations showcase interesting linear substructures of the word vector space.
Implement a function inside the nn package that trains a model for learning the text to vector embeddings using co-occurrence. if a pre-trained model is provided then extract the embeddings from that model for a given dataset.
For more about GloVe please visit:
https://nlp.stanford.edu/projects/glove/