Projects per year
Abstract
This study describes the model design of the NCUEE-NLP system for the Chinese track of the SemEval-2022 MultiCoNER task. We use the BERT embedding for character representation and train the BiLSTM-CRF model to recognize complex named entities. A total of 21 teams participated in this track, with each team allowed a maximum of six submissions. Our best submission, with a macro-averaging F1-score of 0.7418, ranked the seventh position out of 21 teams.
Original language | English |
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Title of host publication | SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop |
Editors | Guy Emerson, Natalie Schluter, Gabriel Stanovsky, Ritesh Kumar, Alexis Palmer, Nathan Schneider, Siddharth Singh, Shyam Ratan |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 1597-1602 |
Number of pages | 6 |
ISBN (Electronic) | 9781955917803 |
DOIs | |
State | Published - 2022 |
Event | 16th International Workshop on Semantic Evaluation, SemEval 2022 - Seattle, United States Duration: 14 Jul 2022 → 15 Jul 2022 |
Publication series
Name | SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop |
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Conference
Conference | 16th International Workshop on Semantic Evaluation, SemEval 2022 |
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Country/Territory | United States |
City | Seattle |
Period | 14/07/22 → 15/07/22 |
Fingerprint
Dive into the research topics of 'NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model'. Together they form a unique fingerprint.Projects
- 1 Finished
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Chinese Knowledge Base Construction and Applications for Medical Healthcare Domain(3/3)
Lee, L.-H. (PI)
1/05/21 → 31/07/22
Project: Research