Cross-Lingual NER
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Benchmarks
CoNLL Dutch
CoNLL German
CoNLL Spanish
CoNLL 2003
Europeana French
MSRA
MasakhaNER2.0
NER
UNER v1 (Cebuano)
UNER v1 (Chinese)
UNER v1 (Croatian)
UNER v1 (Danish)
UNER v1 (English)
UNER v1 (Portuguese)
UNER v1 (Serbian)
UNER v1 (Slovak)
UNER v1 (Swedish)
UNER v1 (Tagalog T)
UNER v1 (Tagalog U)
UNER v1 - PUD (Chinese)
UNER v1 - PUD (English)
UNER v1 - PUD (German)
UNER v1 - PUD (Russian)
UNER v1 - PUD (Swedish)
WikiAnn NER
Most implemented
ByT5: Towards a token-free future with pre-trained byte-to-byte models
Model and Data Transfer for Cross-Lingual Sequence Labelling in Zero-Resource Settings
Rethinking embedding coupling in pre-trained language models
T-Projection: High Quality Annotation Projection for Sequence Labeling Tasks
Frustratingly Easy Label Projection for Cross-lingual Transfer
Papers
Zero-shot Cross-lingual NER via Mitigating Language Difference: An Entity-aligned Translation Perspective
Cross-lingual Named Entity Recognition (CL-NER) aims to transfer knowledge from high-resource languages to low-resource languages. However, existing zero-shot CL-NER (ZCL-NER) approaches primarily focus on Latin script l…
Cross-Lingual NEREntity AlignmentRevisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages
Cross-lingual Named Entity Recognition (NER) leverages knowledge transfer between languages to identify and classify named entities, making it particularly useful for low-resource languages. We show that the data-based c…
Cross-Lingual NERCross-Lingual Transfernamed-entity-recognitionNamed Entity Recognition+3Effectiveness of Cross-linguistic Extraction of Genetic Information using Generative Large Language Models
This paper presents the RMIT University system (RMIT-READ-BioMed) developed for the GenoVarDis shared task at IberLEF 2024, focusing on the task of Named Entity Recognition (NER) of genes, genetic variants, and associate…
Cross-Lingual NERFew-Shot LearningGenetic IELanguage Modeling+6Zero-Shot Cross-Lingual NER Using Phonemic Representations for Low-Resource Languages
Existing zero-shot cross-lingual NER approaches require substantial prior knowledge of the target language, which is impractical for low-resource languages. In this paper, we propose a novel approach to NER using phonemi…
Cross-Lingual NERNERImproving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
Cross-lingual named entity recognition (NER) aims to train an NER model for the target language leveraging only labeled source language data and unlabeled target language data. Prior approaches either perform label proje…
Cross-Lingual NERDenoisingnamed-entity-recognitionNamed Entity Recognition+2Universal NER: A Gold-Standard Multilingual Named Entity Recognition Benchmark
We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages. The overarching goal of UNER is to provide high-quality, cross-lingually consistent annotati…
Cross-Lingual NERMultilingual Named Entity Recognitionnamed-entity-recognitionNamed Entity Recognition+2