TY - GEN
T1 - CN-HIT-IT.NLP at SemEval-2020 Task 4
T2 - 14th International Workshops on Semantic Evaluation, SemEval 2020, co-located with COLING 2020
AU - Zhang, Yice
AU - Lin, Jiaxuan
AU - Fan, Yang
AU - Jin, Peng
AU - Liu, Yuanchao
AU - Liu, Bingquan
N1 - Publisher Copyright:
© 2020 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings. All rights reserved.
PY - 2020
Y1 - 2020
N2 - This paper describes our system that participated in the SemEval-2020 task 4: Commonsense Validation and Explanation. For this task, it is obvious that external knowledge, such as knowledge graph, can help the model understand commonsense in natural language statements. But how to select the right triples for statements remains unsolved, so how to reduce the interference of irrelevant triples on model performance is a research focus. This paper adopt a modified K-BERT as the language encoder, to enhance language representation through triples from knowledge graphs. Experiments show that our method is better than models without external knowledge, and is slightly better than the original K-BERT. We got an accuracy score of 0.97 in subtaskA, ranking 1/45, and got an accuracy score of 0.948, ranking 2/35.
AB - This paper describes our system that participated in the SemEval-2020 task 4: Commonsense Validation and Explanation. For this task, it is obvious that external knowledge, such as knowledge graph, can help the model understand commonsense in natural language statements. But how to select the right triples for statements remains unsolved, so how to reduce the interference of irrelevant triples on model performance is a research focus. This paper adopt a modified K-BERT as the language encoder, to enhance language representation through triples from knowledge graphs. Experiments show that our method is better than models without external knowledge, and is slightly better than the original K-BERT. We got an accuracy score of 0.97 in subtaskA, ranking 1/45, and got an accuracy score of 0.948, ranking 2/35.
UR - https://www.scopus.com/pages/publications/85095294470
U2 - 10.18653/v1/2020.semeval-1.60
DO - 10.18653/v1/2020.semeval-1.60
M3 - 会议稿件
AN - SCOPUS:85095294470
T3 - 14th International Workshops on Semantic Evaluation, SemEval 2020 - co-located 28th International Conference on Computational Linguistics, COLING 2020, Proceedings
SP - 494
EP - 500
BT - COLING 2020 - The International Workshop on Semantic Evaluation, Proceedings of the 14th Workshop
A2 - Herbelot, Aurelie
A2 - Zhu, Xiaodan
A2 - Palmer, Alexis
A2 - Schneider, Nathan
A2 - May, Jonathan
A2 - Shutova, Ekaterina
PB - International Committee for Computational Linguistics
Y2 - 12 December 2020 through 13 December 2020
ER -