CommonGen: A Constrained Text Generation Challenge for Generative Commonsense Reasoning

9 Nov 2019Bill Yuchen LinMing ShenWangchunshu ZhouPei ZhouChandra BhagavatulaYejin ChoiXiang Ren

Recently, large-scale pre-trained language models have demonstrated impressive performance on several commonsense benchmark datasets. However, building machines with common-sense to compose realistically plausible sentences remains challenging... (read more)

PDF Abstract

Results from the Paper


TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Text Generation CommonGen UniLM CIDEr 14.92 # 1

Methods used in the Paper


METHOD TYPE
🤖 No Methods Found Help the community by adding them if they're not listed; e.g. Deep Residual Learning for Image Recognition uses ResNet