Papers with word embedding vector size

1 papers
Deep Neural Networks for Coreference Resolution for Polish (L18-1)

Copied to clipboard

Challenge: Existing deep neural networks for coreference resolution for Polish have been used to resolve textual fragments that refer to the same entity in the discourse world.
Approach: They propose a system combining the best deep neural architecture and sieve-based coreference resolvers ordered from most to least precise to achieve the highest results.
Outcome: The proposed system improves the state of the art for Polish by 0.53 F1 points, reaching 81.23 points of the CoNLL 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