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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 481–490 of 1729 papers

TitleStatusHype
Neural Cross-Lingual Transfer and Limited Annotated Data for Named Entity Recognition in DanishCode0
Neural Mention DetectionCode0
Evaluating Contextualized Language Models for HungarianCode0
Evaluating Transferability of BERT Models on Uralic LanguagesCode0
Exploiting Multiple Embeddings for Chinese Named Entity RecognitionCode0
BANER: Boundary-Aware LLMs for Few-Shot Named Entity RecognitionCode0
Enhancing Relation Extraction via Adversarial Multi-task LearningCode0
An Unsupervised Multiple-Task and Multiple-Teacher Model for Cross-lingual Named Entity RecognitionCode0
Entity Projection via Machine Translation for Cross-Lingual NERCode0
Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-SpeechCode0
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