English

KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation

Computation and Language 2020-07-27 v2

Abstract

This paper presents our strategies in SemEval 2020 Task 4: Commonsense Validation and Explanation. We propose a novel way to search for evidence and choose the different large-scale pre-trained models as the backbone for three subtasks. The results show that our evidence-searching approach improves model performance on commonsense explanation task. Our team ranks 2nd in subtask C according to human evaluation score.

Keywords

Cite

@article{arxiv.2005.11768,
  title  = {KaLM at SemEval-2020 Task 4: Knowledge-aware Language Models for Comprehension And Generation},
  author = {Jiajing Wan and Xinting Huang},
  journal= {arXiv preprint arXiv:2005.11768},
  year   = {2020}
}

Comments

6 pages, 1 figure

R2 v1 2026-06-23T15:46:23.128Z