FII_Better at SemEval-2023 Task 2: MultiCoNER II Multilingual Complex Named Entity Recognition
Viorica-Camelia Lupancu, Alexandru-Gabriel Platica, Cristian-Mihai Rosu, Daniela Gîfu, Diana Trandabăţ · 2023
The "MultiCoNER II Multilingual Complex Named Entity Recognition" task 1 at SemEval 2023 competition focuses on identifying complex named entities (NEs), such as the titles on creative works (songs, books, movies), in several languages.In the context of SemEval, our team, FII_Better, presents an exploration of a base transformer model's capabilities regarding the task, focused more specifically on five languages (English, Spanish, Swedish, German, Italian).We take DistilBERT and BERT as two examples of basic transformer models, using DistilBERT as a baseline and BERT as the platform to create an improved model.In this process, we learned a lot about working with transformers and, on top of that, we managed to get fair results on the chosen languages.