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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 551–560 of 1729 papers

TitleStatusHype
A Corpus for Named Entity Recognition in Chinese Novels with Multi-genresCode0
Transformer-based Named Entity Recognition in Construction Supply Chain Risk Management in Australia—0
Efficient Transformer Knowledge Distillation: A Performance Review—0
Comparison of pipeline, sequence-to-sequence, and GPT models for end-to-end relation extraction: experiments with the rare disease use-caseCode0
Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning—0
Understanding and Mitigating Classification Errors Through Interpretable Token Patterns—0
Bit Cipher -- A Simple yet Powerful Word Representation System that Integrates Efficiently with Language Models—0
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records—0
Extracting periodontitis diagnosis in clinical notes with RoBERTa and regular expression—0
SegMix: A Simple Structure-Aware Data Augmentation Method—0
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