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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 221–230 of 1729 papers

TitleStatusHype
A Unified Generative Framework for Various NER SubtasksCode1
Paradigm Shift in Natural Language ProcessingCode1
Earnings-21: A Practical Benchmark for ASR in the WildCode1
Empirical Study of Zero-Shot NER with ChatGPTCode1
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical TextCode1
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language ModelsCode1
PromptNER: Prompt Locating and Typing for Named Entity RecognitionCode1
Propose-and-Refine: A Two-Stage Set Prediction Network for Nested Named Entity RecognitionCode1
Enhancing Entity Boundary Detection for Better Chinese Named Entity RecognitionCode1
Exploring Cross-sentence Contexts for Named Entity Recognition with BERTCode1
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