Zero-shot Named Entity Recognition (NER)
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Benchmarks
Most implemented
Rethinking Negative Instances for Generative Named Entity Recognition
A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
NuNER: Entity Recognition Encoder Pre-training via LLM-Annotated Data
GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Papers
Cross-Lingual IPA Contrastive Learning for Zero-Shot NER
Existing approaches to zero-shot Named Entity Recognition (NER) for low-resource languages have primarily relied on machine translation, whereas more recent methods have shifted focus to phonemic representation. Building…
Contrastive LearningMachine Translationnamed-entity-recognitionNamed Entity Recognition+3A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition
Zero-shot named entity recognition (NER) aims to develop entity recognition systems from unannotated text corpora. This task presents substantial challenges due to minimal human intervention. Recent work has adapted larg…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+3Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
Zero-shot named entity recognition (NER) is the task of detecting named entities of specific types (such as 'Person' or 'Medicine') without any training examples. Current research increasingly relies on large synthetic d…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+3ReverseNER: A Self-Generated Example-Driven Framework for Zero-Shot Named Entity Recognition with Large Language Models
This paper presents ReverseNER, a method aimed at overcoming the limitation of large language models (LLMs) in zero-shot named entity recognition (NER) tasks, arising from their reliance on pre-provided demonstrations. R…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+2SandboxAQ's submission to MRL 2024 Shared Task on Multi-lingual Multi-task Information Retrieval
This paper explores the problems of Question Answering (QA) and Named Entity Recognition (NER) in five diverse languages. We tested five Large Language Models with various prompting methods, including zero-shot, chain-of…
Information RetrievalMultilingual Named Entity RecognitionMultilingual NLPMultiple Choice Question Answering (MCQA)+7Rethinking Negative Instances for Generative Named Entity Recognition
Large Language Models (LLMs) have demonstrated impressive capabilities for generalizing in unseen tasks. In the Named Entity Recognition (NER) task, recent advancements have seen the remarkable improvement of LLMs in a b…
named-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)NER+1