Papers with composition models

1 papers
Model-Free Context-Aware Word Composition (C18-1)

Copied to clipboard

Challenge: Word composition models do not take ambiguity of words and context into consideration for learning representations, and thus suffer from the inaccurate representation of semantics.
Approach: They propose a model-free context-aware word composition model which takes the latent semantic information as global context for learning representations.
Outcome: The proposed model improves on existing composition models at different granularities and shows that it can be used to learn semantics.

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