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NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition. / Miftahova, Amina; Pugachev, Alexander; Skiba, Artem и др.

SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. ред. / Guy Emerson; Natalie Schluter; Gabriel Stanovsky; Ritesh Kumar; Alexis Palmer; Nathan Schneider; Siddharth Singh; Shyam Ratan. Association for Computational Linguistics (ACL), 2022. стр. 1570-1575 (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаяРецензирование

Harvard

Miftahova, A, Pugachev, A, Skiba, A, Artemova, E, Batura, T, Braslavski, P & Ivanov, V 2022, NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition. в G Emerson, N Schluter, G Stanovsky, R Kumar, A Palmer, N Schneider, S Singh & S Ratan (ред.), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, Association for Computational Linguistics (ACL), стр. 1570-1575, 16th International Workshop on Semantic Evaluation, SemEval 2022, Seattle, Соединенные Штаты Америки, 14.07.2022.

APA

Miftahova, A., Pugachev, A., Skiba, A., Artemova, E., Batura, T., Braslavski, P., & Ivanov, V. (2022). NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition. в G. Emerson, N. Schluter, G. Stanovsky, R. Kumar, A. Palmer, N. Schneider, S. Singh, & S. Ratan (Ред.), SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop (стр. 1570-1575). (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop). Association for Computational Linguistics (ACL).

Vancouver

Miftahova A, Pugachev A, Skiba A, Artemova E, Batura T, Braslavski P и др. NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition. в Emerson G, Schluter N, Stanovsky G, Kumar R, Palmer A, Schneider N, Singh S, Ratan S, Редакторы, SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. Association for Computational Linguistics (ACL). 2022. стр. 1570-1575. (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

Author

Miftahova, Amina ; Pugachev, Alexander ; Skiba, Artem и др. / NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition. SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop. Редактор / Guy Emerson ; Natalie Schluter ; Gabriel Stanovsky ; Ritesh Kumar ; Alexis Palmer ; Nathan Schneider ; Siddharth Singh ; Shyam Ratan. Association for Computational Linguistics (ACL), 2022. стр. 1570-1575 (SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop).

BibTeX

@inproceedings{7aedd597c4344dfeb13fc6cb6c3d74ea,
title = "NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition",
abstract = "This paper presents the two submissions of NamedEntityRangers Team to the MultiCoNER Shared Task, hosted at SemEval-2022. We evaluate two state-of-the-art approaches, of which both utilize pre-trained multi-lingual language models differently. The first approach follows the token classification schema, in which each token is assigned with a tag. The second approach follows a recent template-free paradigm (Ma et al., 2021), in which an encoder-decoder model translates the input sequence of words to a special output, encoding named entities with predefined labels. We utilize RemBERT and mT5 as backbone models for these two approaches, respectively. Our results show that the oldie but goodie token classification outperforms the template-free method by a wide margin. Our code is available at: https://github.com/Abiks/MultiCoNER.",
author = "Amina Miftahova and Alexander Pugachev and Artem Skiba and Ekaterina Artemova and Tatiana Batura and Pavel Braslavski and Vladimir Ivanov",
note = "Funding Information: The project is supported by the Russian Science Foundation, grant # 20-11-20166. This research was supported in part through computational resources of HPC facilities at HSE University (Kostenetskiy et al., 2021). Publisher Copyright: {\textcopyright} 2022 Association for Computational Linguistics.; 16th International Workshop on Semantic Evaluation, SemEval 2022 ; Conference date: 14-07-2022 Through 15-07-2022",
year = "2022",
language = "English",
series = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",
publisher = "Association for Computational Linguistics (ACL)",
pages = "1570--1575",
editor = "Guy Emerson and Natalie Schluter and Gabriel Stanovsky and Ritesh Kumar and Alexis Palmer and Nathan Schneider and Siddharth Singh and Shyam Ratan",
booktitle = "SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop",

}

RIS

TY - GEN

T1 - NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition

AU - Miftahova, Amina

AU - Pugachev, Alexander

AU - Skiba, Artem

AU - Artemova, Ekaterina

AU - Batura, Tatiana

AU - Braslavski, Pavel

AU - Ivanov, Vladimir

N1 - Funding Information: The project is supported by the Russian Science Foundation, grant # 20-11-20166. This research was supported in part through computational resources of HPC facilities at HSE University (Kostenetskiy et al., 2021). Publisher Copyright: © 2022 Association for Computational Linguistics.

PY - 2022

Y1 - 2022

N2 - This paper presents the two submissions of NamedEntityRangers Team to the MultiCoNER Shared Task, hosted at SemEval-2022. We evaluate two state-of-the-art approaches, of which both utilize pre-trained multi-lingual language models differently. The first approach follows the token classification schema, in which each token is assigned with a tag. The second approach follows a recent template-free paradigm (Ma et al., 2021), in which an encoder-decoder model translates the input sequence of words to a special output, encoding named entities with predefined labels. We utilize RemBERT and mT5 as backbone models for these two approaches, respectively. Our results show that the oldie but goodie token classification outperforms the template-free method by a wide margin. Our code is available at: https://github.com/Abiks/MultiCoNER.

AB - This paper presents the two submissions of NamedEntityRangers Team to the MultiCoNER Shared Task, hosted at SemEval-2022. We evaluate two state-of-the-art approaches, of which both utilize pre-trained multi-lingual language models differently. The first approach follows the token classification schema, in which each token is assigned with a tag. The second approach follows a recent template-free paradigm (Ma et al., 2021), in which an encoder-decoder model translates the input sequence of words to a special output, encoding named entities with predefined labels. We utilize RemBERT and mT5 as backbone models for these two approaches, respectively. Our results show that the oldie but goodie token classification outperforms the template-free method by a wide margin. Our code is available at: https://github.com/Abiks/MultiCoNER.

UR - http://www.scopus.com/inward/record.url?scp=85137590023&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85137590023

T3 - SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop

SP - 1570

EP - 1575

BT - SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop

A2 - Emerson, Guy

A2 - Schluter, Natalie

A2 - Stanovsky, Gabriel

A2 - Kumar, Ritesh

A2 - Palmer, Alexis

A2 - Schneider, Nathan

A2 - Singh, Siddharth

A2 - Ratan, Shyam

PB - Association for Computational Linguistics (ACL)

T2 - 16th International Workshop on Semantic Evaluation, SemEval 2022

Y2 - 14 July 2022 through 15 July 2022

ER -

ID: 37533967