论文标题
Semeval-2022任务2：在不同级别的上下文化级别上考虑有效的惯用性检测
HYU at SemEval-2022 Task 2: Effective Idiomaticity Detection with Consideration at Different Levels of Contextualization
论文作者
论文摘要
我们提出了一个统一的框架，使我们能够考虑不同层面上情境化的各个方面，以更好地识别多字表达式的惯用性。通过广泛的实验，我们证明了基于目标MWE的内在和内在环境的方法可有效提高相关模型的性能。我们还分享了有关Semeval-2022任务2任务的详细经验2，以便从中可以从中受益于同一任务的未来工作。
We propose a unified framework that enables us to consider various aspects of contextualization at different levels to better identify the idiomaticity of multi-word expressions. Through extensive experiments, we demonstrate that our approach based on the inter- and inner-sentence context of a target MWE is effective in improving the performance of related models. We also share our experience in detail on the task of SemEval-2022 Tasks 2 such that future work on the same task can be benefited from this.
