Papers with downstream reliability of word embeddings

1 papers
An Empirical Study of the Downstream Reliability of Pre-Trained Word Embeddings (2020.coling-main)

Copied to clipboard

Challenge: Pre-trained word embeddings have been shown to improve the performance of neural networks across a wide variety of tasks.
Approach: They propose two new metrics to understand the downstream reliability of word embeddings.
Outcome: The proposed model can improve performance with slight changes to the training data, but it can also fail with multiple neural network architectures.

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