Papers with Break scheme

1 papers
Learning Named Entity Tagger using Domain-Specific Dictionary (D18-1)

Copied to clipboard

Challenge: Existing methods to build reliable named entity recognition systems require large amounts of manually-labeled training data.
Approach: They propose a revised fuzzy CRF layer to handle tokens with multiple possible labels to address noisy distant supervision.
Outcome: The proposed model can handle tokens with multiple possible labels under the traditional framework and improves on the existing model with a new Tie or Break scheme.

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