LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa
Rahul Mehta, Vasudeva Varma · 2023
Named Entity Recognition(NER) is a task of recognizing entities at a token level in a sentence.This paper focuses on solving NER tasks in a multilingual setting for complex named entities.Our team, LLM-RM participated in the recently organized SemEval 2023 task, Task 2: MultiCoNER II,Multilingual Complex Named Entity Recognition.We approach the problem by leveraging cross-lingual representation provided by fine-tuning XLM-Roberta base model on datasets of all of the 12 languages provided -Bangla, Chinese, English, Farsi, French, German, Hindi, Italian, Portuguese, Spanish, Swedish and Ukrainian.