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Named Entity Recognition

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TitleStatusHype
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
A Comparison of Architectures and Pretraining Methods for Contextualized Multilingual Word Embeddings—0
A Comprehensive Analysis of Acknowledgement Texts in Web of Science: a case study on four scientific domains—0
A Comprehensive Study of Gender Bias in Chemical Named Entity Recognition Models—0
A Continual Relation Extraction Approach for Knowledge Graph Completeness—0
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models—0
A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products—0
Acoustic Model Fusion for End-to-end Speech Recognition—0
Active Curriculum Learning—0
Active Defense Against Social Engineering: The Case for Human Language Technology—0
Active Learning for Probabilistic Hypotheses Using the Maximum Gibbs Error Criterion—0
Active Learning with Tabular Language Models—0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations—0
Adaptation d'un syst\`eme de reconnaissance d'entit\'es nomm\'ees pour le fran \`a l'anglais \`a moindre co\^ut (Adapting a French Named Entity Recognition System to English with Minimal Costs) [in French]—0
Adaptation of Deep Bidirectional Transformers for Afrikaans Language—0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
Adapting Language Specific Components of Cross-Media Analysis Frameworks to Less-Resourced Languages: the Case of Amharic—0
Adapting the TTL Romanian POS Tagger to the Biomedical Domain—0
Adapting word2vec to Named Entity Recognition—0
Adaptive Name Entity Recognition under Highly Unbalanced Data—0
Adaptive Self-training for Few-shot Neural Sequence Labeling—0
Adaptive Self-training for Neural Sequence Labeling with Few Labels—0
Adaptive Threshold Selective Self-Attention for Chinese NER—0
A Data-driven Approach to Named Entity Recognition for Early Modern French—0
A Decoupling and Aggregating Framework for Joint Extraction of Entities and Relations—0
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