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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 101–125 of 1729 papers

TitleStatusHype
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Earnings-21: A Practical Benchmark for ASR in the WildCode1
End-to-End Entity Detection with Proposer and RegressorCode1
End-to-end Named Entity Recognition from English SpeechCode1
A Named Entity Based Approach to Model RecipesCode1
Enhanced Entity Annotations for Multilingual CorporaCode1
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature TextCode1
Enhancing Low-resource Fine-grained Named Entity Recognition by Leveraging Coarse-grained DatasetsCode1
Annotating the Tweebank Corpus on Named Entity Recognition and Building NLP Models for Social Media AnalysisCode1
Example-Based Named Entity RecognitionCode1
Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-Trained Language ModelsCode1
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical TextsCode1
FGN: Fusion Glyph Network for Chinese Named Entity RecognitionCode1
FILTER: An Enhanced Fusion Method for Cross-lingual Language UnderstandingCode1
A Span-Based Model for Joint Overlapped and Discontinuous Named Entity RecognitionCode1
Automatic extraction of materials and properties from superconductors scientific literatureCode1
FAME: Feature-Based Adversarial Meta-Embeddings for Robust Input RepresentationsCode1
An Effective System for Multi-format Information ExtractionCode1
AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African LanguagesCode1
Application of Deep Learning in Generating Structured Radiology Reports: A Transformer-Based TechniqueCode1
An Embarrassingly Easy but Strong Baseline for Nested Named Entity RecognitionCode1
GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and AugmentationCode1
A FOFE-based Local Detection Approach for Named Entity Recognition and Mention DetectionCode1
GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity RecognitionCode1
A Sequence-to-Set Network for Nested Named Entity RecognitionCode1
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