Papers with MultiQA

1 papers
MultiQA: An Empirical Investigation of Generalization and Transfer in Reading Comprehension (P19-1)

Copied to clipboard

Challenge: A large number of reading comprehension (RC) datasets have been created, but little research has been done on whether they generalize to one another and the extent to which existing datasets can be leveraged for improving performance on new ones.
Approach: They propose a BERT-based reading comprehension model that can be trained on multiple RC datasets.
Outcome: The proposed model can be trained on multiple RC datasets and improve performance on five RC data.

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