Papers
369 papers found
NamedEntityRangers at SemEval-2022 Task 11: Transformer-based Approaches for Multilingual Complex Named Entity Recognition
Amina Miftahova, Alexander Pugachev, Artem Skiba et al.
Raccoons at SemEval-2022 Task 11: Leveraging Concatenated Word Embeddings for Named Entity Recognition
Atharvan Dogra, Prabsimran Kaur, Guneet Kohli et al.
SeqL at SemEval-2022 Task 11: An Ensemble of Transformer Based Models for Complex Named Entity Recognition Task
Fadi Hassan, Wondimagegnhue Tufa, Guillem Collell et al.
SFE-AI at SemEval-2022 Task 11: Low-Resource Named Entity Recognition using Large Pre-trained Language Models
Changyu Hou, Jun Wang, Yixuan Qiao et al.
NCUEE-NLP at SemEval-2022 Task 11: Chinese Named Entity Recognition Using the BERT-BiLSTM-CRF Model
Lung-Hao Lee, Chien-Huan Lu, Tzu-Mi Lin
CMB AI Lab at SemEval-2022 Task 11: A Two-Stage Approach for Complex Named Entity Recognition via Span Boundary Detection and Span Classification
Keyu Pu, Hongyi Liu, Yixiao Yang et al.
UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition
Hyunju Song, Steven Bethard
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition
Beiduo Chen, Jun-Yu Ma, Jiajun Qi et al.
Multilinguals at SemEval-2022 Task 11: Transformer Based Architecture for Complex NER
Amit Pandey, Swayatta Daw, Vikram Pudi
L3i at SemEval-2022 Task 11: Straightforward Additional Context for Multilingual Named Entity Recognition
Emanuela Boros, Carlos-Emiliano González-Gallardo, Jose Moreno et al.
SU-NLP at SemEval-2022 Task 11: Complex Named Entity Recognition with Entity Linking
Buse Çarık, Fatih Beyhan, Reyyan Yeniterzi
Qtrade AI at SemEval-2022 Task 11: An Unified Framework for Multilingual NER Task
Weichao Gan, Yuanping Lin, Guangbo Yu et al.
PAI at SemEval-2022 Task 11: Name Entity Recognition with Contextualized Entity Representations and Robust Loss Functions
Long Ma, Xiaorong Jian, Xuan Li
MIND at SemEval-2023 Task 11: From Uncertain Predictions to Subjective Disagreement
Giulia Rizzi, Alessandro Astorino, Daniel Scalena et al.
University at Buffalo at SemEval-2023 Task 11: MASDA–Modelling Annotator Sensibilities through DisAggregation
Michael Sullivan, Mohammed Yasin, Cassandra L. Jacobs
CICL_DMS at SemEval-2023 Task 11: Learning With Disagreements (Le-Wi-Di)
Dennis Grötzinger, Simon Heuschkel, Matthias Drews
UMUTeam at SemEval-2023 Task 11: Ensemble Learning applied to Binary Supervised Classifiers with disagreements
José Antonio García-Díaz, Ronghao Pan, Gema Alcaráz-Mármol et al.
Lon-eå at SemEval-2023 Task 11: A Comparison of Activation Functions for Soft and Hard Label Prediction
Peyman Hosseini, Mehran Hosseini, Sana Al-azzawi et al.