@inproceedings{pais-2022-racai,
title = "{RACAI} at {S}em{E}val-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism",
author = "Pais, Vasile",
editor = "Emerson, Guy and
Schluter, Natalie and
Stanovsky, Gabriel and
Kumar, Ritesh and
Palmer, Alexis and
Schneider, Nathan and
Singh, Siddharth and
Ratan, Shyam",
booktitle = "Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)",
month = jul,
year = "2022",
address = "Seattle, United States",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.semeval-1.215/",
doi = "10.18653/v1/2022.semeval-1.215",
pages = "1562--1569",
abstract = "This paper presents RACAI`s system used for the shared task of {\textquotedblleft}Multilingual Complex Named Entity Recognition (MultiCoNER){\textquotedblright}, organized as part of the {\textquotedblleft}The 16th International Workshop on Semantic Evaluation (SemEval 2022){\textquotedblright}. 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."
}
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<abstract>This 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.</abstract>
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%0 Conference Proceedings
%T RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism
%A Pais, Vasile
%Y Emerson, Guy
%Y Schluter, Natalie
%Y Stanovsky, Gabriel
%Y Kumar, Ritesh
%Y Palmer, Alexis
%Y Schneider, Nathan
%Y Singh, Siddharth
%Y Ratan, Shyam
%S Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F pais-2022-racai
%X This 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.
%R 10.18653/v1/2022.semeval-1.215
%U https://aclanthology.org/2022.semeval-1.215/
%U https://doi.org/10.18653/v1/2022.semeval-1.215
%P 1562-1569
Markdown (Informal)
[RACAI at SemEval-2022 Task 11: Complex named entity recognition using a lateral inhibition mechanism](https://aclanthology.org/2022.semeval-1.215/) (Pais, SemEval 2022)
ACL