Papers by Dmetri Hayes

1 papers
What just happened? Evaluating retrofitted distributional word vectors (N19-1)

Copied to clipboard

Challenge: Recent work has attempted to enhance vector space representations using information from structured semantic resources.
Approach: They propose a root-mean-square error evaluation metric to evaluate the utility of different lexical resources for retrofitting.
Outcome: The proposed method improves word similarity performance by using root-mean-square error (RMSE) and root-macro-error (RMME) metric.

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