Papers with eQASC
Learning to Explain: Datasets and Models for Identifying Valid Reasoning Chains in Multihop Question-Answering (2020.emnlp-main)
Copied to clipboard
| Challenge: | despite rapid progress in multihop question-answering, models still have trouble explaining why an answer is correct. |
| Approach: | They propose three explanation datasets in which explanations from corpus facts are annotated . they first annotate multiple candidate explanations for each answer, then use crowd-sourcing perturbations to test generalization . |
| Outcome: | The proposed datasets improve explanation quality but still behind the upper bound . the proposed dataset can be used to improve explanations using a BERT-based classifier . |