Detecting semantically ambiguous and complex entities in short and low-context settings (like media titles, products, and groups) in 11 languages (including Spanish) in both monolingual and multi-lingual scenarios.
Publication
Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, and Oleg Rokhlenko. 2022. SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER). In Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022), pages 1412–1437, Seattle, United States. Association for Computational Linguistics.
Language
Spanish
English
NLP topic
Abstract task
Dataset
Year
2022
Publication link
Ranking metric
F1
Task results
System | F1 Sort ascending |
---|---|
DAMO-NLP | 0.8994 |
USTC-NELSLIP | 0.8544 |
Infrrd.ai | 0.7526 |
MaChAmp | 0.7520 |