Semeval-2022 task 11: Multilingual complex named entity recognition (multiconer)
We present the findings of SemEval-2022 Task 11 on Multilingual Complex Named Entity
Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify …
Recognition MULTICONER. Divided into 13 tracks, the task focused on methods to identify …
PAI at SemEval-2023 Task 2: A Universal System for Named Entity Recognition with External Entity Information
L Ma, K Lu, T Che, H Huang, W Gao, X Li - arxiv preprint arxiv …, 2023 - arxiv.org
The MultiCoNER II task aims to detect complex, ambiguous, and fine-grained named entities
in low-context situations and noisy scenarios like the presence of spelling mistakes and …
in low-context situations and noisy scenarios like the presence of spelling mistakes and …
[PDF][PDF] Enhancing named entity recognition in Turkish by ıntegrating external knowledge and extra layers into transformer-based models
B Çarık - 2022 - research.sabanciuniv.edu
ENHANCING NAMED ENTITY RECOGNITION IN TURKISH BY INTEGRATING EXTERNAL
KNOWLEDGE AND EXTRA LAYERS INTO TRANSFORMER-BASED MODELS b Page 1 …
KNOWLEDGE AND EXTRA LAYERS INTO TRANSFORMER-BASED MODELS b Page 1 …