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2022 SEMEVAL SemEval 2022

RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism

Abstract

AbstractThis paper presents RACAI’s system used for the shared task of “Multilingual Complex Named Entity Recognition (MultiCoNER)”, organized as part of the “The 16th International Workshop on Semantic Evaluation (SemEval 2022)”. The system employs a novel layer inspired by the biological mechanism of lateral inhibition. This allowed the system to achieve good results without any additional resources apart from the provided training data. In addition to the system’s architecture, results are provided as well as observations regarding the provided dataset.

🧭 Keyword Pioneer — complex named entity recognition
🐝 Cross-Pollinator — Artificial Intelligence, Computer Vision, Deep Learning, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Speech & Audio

Authors

Vasile Pais

Topics

Natural Language Processing > Understanding > Named Entity Recognition

Keywords

lateral inhibition semantic evaluation complex named entity recognition
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