Papers with sequence-to-sequence neural network

1 papers
A Comparison of Two Paraphrase Models for Taxonomy Augmentation (N18-2)

Copied to clipboard

Challenge: a taxonomy is often used to look up concepts in text documents.
Approach: They compare two state-of-the-art paraphrase models with a paraphrase dataset . they find that paraphrasing is a viable method to augment taxonomies with more terms .
Outcome: The proposed model outperforms the previous model on the risk domain.

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