Papers with NQG

1 papers
Two Birds, One Stone: A Simple, Unified Model for Text Generation from Structured and Unstructured Data (2020.acl-main)

Copied to clipboard

Challenge: Recent studies have shown that simpler, properly tuned models are at least competitive across NLP tasks.
Approach: They propose to use a table-to-text and neural question generation tasks to generate text from structured and unstructured data.
Outcome: The proposed task generates biographies based on Wikipedia infoboxes . the proposed model can achieve the state of the art in both tasks .

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