FRE @ BC8 SympTEMIST track: Named Entity Recognition
Year: 2023
Type: conference-paper
Abstract: This paper describes our submission on the SympTEMIST Named Entity Recognition (NER) shared subtask at BioCreative 2023. We submitted two systems based on a RoBERTa architecture LLM trained on Spanish-language clinical data available at HuggingFace model repository. The techniques that we used for both systems are Conditional Random Fields (CRF) and Byte-Pair Encoding dropout (BPE dropout). In the second system we also included Sub-subword feature based embeddings (SSW). Our systems obtained strict F1-score 0.727 and 0.728 with and without SSW, respectively. This article is part of the Proceedings of the BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of Generative Models.
Authors: Martínez, Ander, García-Santa, Nuria
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W6892409211