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NER

The named entity recognition (NER) involves identification of key information in the text and classification into a set of predefined categories. This includes standard entities in the text like Part of Speech (PoS) and entities like places, names etc...

Papers

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Showing 1076–1100 of 1729 papers

TitleStatusHype
Academic Case Reports Lack Diversity: Assessing the Presence and Diversity of Sociodemographic and Behavioral Factors related to Post COVID-19 Condition—0
Accelerated materials language processing enabled by GPT—0
A Co-guided Neural Network for Person Name Recognition in Academic Homepages—0
A Comparative Analysis of Word Segmentation, Part-of-Speech Tagging, and Named Entity Recognition for Historical Chinese Sources, 1900-1950—0
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
Active Curriculum Learning—0
AdaK-NER: An Adaptive Top-K Approach for Named Entity Recognition with Incomplete Annotations—0
Adam Mickiewicz University at WMT 2022: NER-Assisted and Quality-Aware Neural Machine Translation—0
Adaptation d'une m\'etagrammaire du fran contemporain au fran m\'edi\'eval (Adapting an existing metagrammar for Contemporary French to Medieval French)—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
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 Deep Learning approach for Hindi Named Entity Recognition—0
A Deep Learning-Based System for PharmaCoNER—0
A Discriminative Neural Model for Cross-Lingual Word Alignment—0
Adversarial Learning for Chinese NER from Crowd Annotations—0
Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER—0
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