Papers with DeBERTa binary classification model

1 papers
Two is Better than Many? Binary Classification as an Effective Approach to Multi-Choice Question Answering (2022.emnlp-main)

Copied to clipboard

Challenge: Existing approaches to multi-choice question answering are based on binary classifications instead of scoring each answer as a single class.
Approach: They propose a simple refactoring of multi-choice question answering tasks as a series of binary classifications and propose re-framing to make them more efficient.
Outcome: The proposed approach is significantly more effective across different tasks and models.

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