Papers with bottom-up variants

1 papers
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better (P18-1)

Copied to clipboard

Challenge: a recent study found that language models fail to learn long-range syntax sensitive dependencies.
Approach: They propose to use a subject-verb agreement diagnostic to determine whether language models can learn long-range syntax sensitive dependencies.
Outcome: The proposed model outperforms left-corner and bottom-up variants in learning non-local dependencies.

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