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2023 SEMEVAL SemEval 2023

Samsung Research China - Beijing at SemEval-2023 Task 2: An AL-R Model for Multilingual Complex Named Entity Recognition

Abstract

AbstractThis paper describes our system for SemEval-2023 Task 2 Multilingual Complex Named EntityRecognition (MultiCoNER II). Our teamSamsung Research China - Beijing proposesan AL-R (Adjustable Loss RoBERTa) model toboost the performance of recognizing short andcomplex entities with the challenges of longtaildata distribution, out of knowledge base andnoise scenarios. We first employ an adjustabledice loss optimization objective to overcomethe issue of long-tail data distribution, which isalso proved to be noise-robusted, especially incombatting the issue of fine-grained label confusing. Besides, we develop our own knowledgeenhancement tool to provide related contextsfor the short context setting and addressthe issue of out of knowledge base. Experimentshave verified the validation of our approaches.

🌉 Interdisciplinary Bridge — Deep Learning and Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — multilingual complex named entity
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio

Authors

Haojie Zhang , Xiao Li , Renhua Gu , Xiaoyan Qu , Xiangfeng Meng , Shuo Hu , Song Liu

Topics

Machine Learning > Optimization & Theory > Loss Functions Machine Learning > Application Areas > Data Augmentation Natural Language Processing > Understanding > Named Entity Recognition Machine Learning > Learning Types > Transfer Learning Natural Language Processing > Applications > Named Entity Recognition Machine Learning > Learning Types > Multi-Label Classification Deep Learning > Optimization & Theory > Loss Functions

Keywords

transfer learning text classification multilingual nlp data augmentation named entity recognition label noise loss function long-tail distribution multilingual ner knowledge enhancement dice loss multilingual complex named entity
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