kpfriends at SemEval-2022 Task 2: NEAMER - Named Entity Augmented Multi-word Expression Recognizer
Min Sik Oh · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022) · 2022
We present NEAMER -Named Entity Augmented Multi-word Expression Recognizer.This system is inspired by noncompositionality characteristics shared between Named Entity and Idiomatic Expressions.We utilize transfer learning and locality features to enhance idiom classification task.This system is our submission for SemEval Task 2: Multilingual Idiomaticity Detection and Sentence Embedding Subtask A OneShot shared task.We achieve SOTA with F1 0.9395 during post-evaluation phase.We also observe improvement in training stability.Lastly, we experiment with non-compositionality knowledge transfer, cross-lingual fine-tuning and locality features, which we also introduce in this paper.