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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 1431–1440 of 1729 papers

TitleStatusHype
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
G-MAP: General Memory-Augmented Pre-trained Language Model for Domain TasksCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
GNN-SL: Sequence Labeling Based on Nearest Examples via GNNCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
Comparing Annotated Datasets for Named Entity Recognition in English LiteratureCode0
Adapting Multilingual LLMs to Low-Resource Languages with Knowledge Graphs via AdaptersCode0
Enhancing Label Consistency on Document-level Named Entity RecognitionCode0
Regularization for Long Named Entity RecognitionCode0
Graph Convolutional Networks for Named Entity RecognitionCode0
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