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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 526–550 of 1729 papers

TitleStatusHype
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity RecognitionCode0
Exploring Segment Representations for Neural Segmentation ModelsCode0
Evaluating Contextualized Language Models for HungarianCode0
Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts datasetCode0
BioFLAIR: Pretrained Pooled Contextualized Embeddings for Biomedical Sequence Labeling TasksCode0
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream taskCode0
A neural network multi-task learning approach to biomedical named entity recognitionCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Entity Recognition at First Sight: Improving NER with Eye Movement InformationCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Enhancing deep neural networks with morphological informationCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade DirectoriesCode0
Evaluating the Utility of Hand-crafted Features in Sequence LabellingCode0
Leveraging Cross-Lingual Transfer Learning in Spoken Named Entity Recognition SystemsCode0
Domain-Specific Language Model Pretraining for Biomedical Natural Language ProcessingCode0
End-to-End Neural Entity LinkingCode0
A Neural Multi-digraph Model for Chinese NER with GazetteersCode0
End-to-end Recurrent Neural Network Models for Vietnamese Named Entity Recognition: Word-level vs. Character-levelCode0
A Neural Layered Model for Nested Named Entity RecognitionCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
DualNER: A Dual-Teaching framework for Zero-shot Cross-lingual Named Entity RecognitionCode0
BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NERCode0
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?Code0
End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language ModelsCode0
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