Papers by Colin Phillips

1 papers
Assessing Composition in Sentence Vector Representations (C18-1)

Copied to clipboard

Challenge: opacity of sentence vector representations is a challenge to achieving language understanding . current neural network models are unable to capture meaning information in dense vectors .
Approach: They propose a method that targets compositional meaning information in sentence embeddings with a high degree of precision and control.
Outcome: The proposed method extracts useful information about the different capacities of existing sentences models.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations