2023
ACL
ACL 2023
LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa
Abstract
AbstractNamed Entity Recognition(NER) is a task ofrecognizing entities at a token level in a sen-tence. This paper focuses on solving NER tasksin a multilingual setting for complex named en-tities. Our team, LLM-RM participated in therecently organized SemEval 2023 task, Task 2:MultiCoNER II,Multilingual Complex NamedEntity Recognition. We approach the problemby leveraging cross-lingual representation pro-vided by fine-tuning XLM-Roberta base modelon datasets of all of the 12 languages provided - Bangla, Chinese, English, Farsi, French,German, Hindi, Italian, Portuguese, Spanish,Swedish and Ukrainian.
🌉
Interdisciplinary Bridge
— Artificial Intelligence and Natural Language Processing
🧭
Keyword Pioneer
— multilingual setting
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Natural Language Processing, Reinforcement Learning, Speech & Audio
Authors
Topics
Artificial Intelligence > Learning Paradigms > Transfer Learning
Natural Language Processing > Understanding > Named Entity Recognition
Natural Language Processing > Resources & Methods > Multilingual NLP
Natural Language Processing > Applications > Named Entity Recognition
Deep Learning > Models > Transformers
Machine Learning > Learning Types > Multi-Lingual Learning