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    <abstract>Named 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.</abstract>
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%0 Conference Proceedings
%T LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa
%A Mehta, Rahul
%A Varma, Vasudeva
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F mehta-varma-2023-llm
%X Named 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.
%R 10.18653/v1/2023.semeval-1.62
%U https://aclanthology.org/2023.semeval-1.62
%U https://doi.org/10.18653/v1/2023.semeval-1.62
%P 453-456

Markdown (Informal)

[LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa](https://aclanthology.org/2023.semeval-1.62) (Mehta & Varma, SemEval 2023)

• LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa (Mehta & Varma, SemEval 2023)

ACL

• Rahul Mehta and Vasudeva Varma. 2023. LLM-RM at SemEval-2023 Task 2: Multilingual Complex NER Using XLM-RoBERTa. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 453–456, Toronto, Canada. Association for Computational Linguistics.