Cross-Domain Named Entity Recognition
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Benchmarks
CoNLL04
Most implemented
CrossNER: Evaluating Cross-Domain Named Entity Recognition
DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition
FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
A Label-Aware Autoregressive Framework for Cross-Domain NER
DeepKE: A Deep Learning Based Knowledge Extraction Toolkit for Knowledge Base Population
Data Augmentation for Cross-Domain Named Entity Recognition
Papers
Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model
Few-Shot Cross-Domain NER is the process of leveraging knowledge from data-rich source domains to perform entity recognition on data scarce target domains. Most previous state-of-the-art (SOTA) approaches use pre-trained…
BenchmarkingCross-Domain Named Entity RecognitionLanguage ModelingLanguage Modelling+5Cross-domain Named Entity Recognition via Graph Matching
Cross-domain NER is a practical yet challenging problem since the data scarcity in the real-world scenario. A common practice is first to learn a NER model in a rich-resource general domain and then adapt the model to sp…
Cross-Domain Named Entity RecognitionFew-Shot LearningGraph MatchingMulti-Task Learning+4Label Alignment and Reassignment with Generalist Large Language Model for Enhanced Cross-Domain Named Entity Recognition
Named entity recognition on the in-domain supervised and few-shot settings have been extensively discussed in the NLP community and made significant progress. However, cross-domain NER, a more common task in practical sc…
Cross-Domain Named Entity RecognitionLanguage ModelingLanguage ModellingLarge Language Model+4DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition
Cross-domain named entity recognition aims to improve performance in a target domain with shared knowledge from a well-studied source domain. The previous sequence-labeling based method focuses on promoting model paramet…
Cross-Domain Named Entity RecognitionMachine Reading Comprehensionnamed-entity-recognitionNamed Entity Recognition+2FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition
Few-shot Named Entity Recognition (NER) is imperative for entity tagging in limited resource domains and thus received proper attention in recent years. Existing approaches for few-shot NER are evaluated mainly under in-…
Cross-Domain Named Entity RecognitionData AugmentationFew-shot NERNamed Entity Recognition+1A Label-Aware Autoregressive Framework for Cross-Domain NER
Cross-domain named entity recognition (NER) aims to borrow the entity information from the source domain to help the entity recognition in the target domain with limited labeled data. Despite the promising performance of…
Cross-Domain Named Entity Recognitionnamed-entity-recognitionNamed Entity RecognitionNamed Entity Recognition (NER)+1