SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model
Yue Zhou, Bowei Wei, Jianyu Liu, Yang Yang · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
Synonyms and antonym practices are the most common practices in our early childhood.It correlated our known words to a better place deep in our intuition.At the beginning of life for a machine, we would like to treat the machine as a baby and build a similar training for it as well to present a qualified performance.In this paper, we present an ensemble model for sentence logistics classification, which outperforms the state-of-art methods.Our approach essentially builds on two models including ERNIE-M and DeBERTaV3.With crossvalidation and random seed tuning, we select the top performance models for the last soft ensemble and make them vote for the final answer, achieving the top 6 performance.