Papers with polyglot semantic translation

1 papers
Polyglot Semantic Parsing in APIs (N18-1)

Copied to clipboard

Challenge: Existing approaches to semantic parsing work by training individual models for each available parallel dataset of text-meaning pairs.
Approach: They propose a polyglot semantic translation approach that trains on multiple datasets and natural languages to learn parsing models.
Outcome: The proposed model can be used for parsing a wide variety of natural languages and output languages, and achieves state-of-the-art performance on the above datasets.

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