SOTAVerified

Similarity-Based Content Scoring - How to Make S-BERT Keep Up With BERT

2022-07-01NAACL (BEA) 2022Code Available0· sign in to hype

Marie Bexte, Andrea Horbach, Torsten Zesch

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

The dominating paradigm for content scoring is to learn an instance-based model, i.e. to use lexical features derived from the learner answers themselves. An alternative approach that receives much less attention is however to learn a similarity-based model. We introduce an architecture that efficiently learns a similarity model and find that results on the standard ASAP dataset are on par with a BERT-based classification approach.

Reproductions