@inproceedings{b7fd8cf36eee43f9ab11204a68af740d,
title = "RIGA at SemEval-2023 Task 2: NER enhanced with GPT-3",
abstract = "The following is a description of the RIGA team{\textquoteright}s submissions for the English track of the SemEval-2023 Task 2: Multilingual Complex Named Entity Recognition (MultiCoNER) II. Our approach achieves 17\% boost in results by utilizing pre-existing Large-scale Language Models (LLMs), such as GPT-3, to gather additional contexts. We then fine-tune a pre-trained neural network utilizing these contexts. The final step of our approach involves meticulous model and compute resource scaling, which results in improved performance. Our results placed us 12th out of 34 teams in terms of overall ranking and 7th in terms of the noisy subset ranking.",
author = "Eduards Mukans and Guntis Barzdins",
note = "Publisher Copyright: {\textcopyright} 2023 Association for Computational Linguistics.; 17th International Workshop on Semantic Evaluation, SemEval 2023, co-located with the 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023 ; Conference date: 13-07-2023 Through 14-07-2023",
year = "2023",
doi = "10.18653/v1/2023.semeval-1.45",
language = "English",
series = "17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop",
publisher = "Association for Computational Linguistics",
pages = "331--339",
editor = "Ojha, \{Atul Kr.\} and Dogruoz, \{A. Seza\} and \{Da San Martino\}, Giovanni and Madabushi, \{Harish Tayyar\} and Ritesh Kumar and Elisa Sartori",
booktitle = "17th International Workshop on Semantic Evaluation, SemEval 2023 - Proceedings of the Workshop",
address = "United States",
}