Cross|Lingual NER

mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view ...

Title:mCL-NER: Cross-Lingual Named Entity Recognition via Multi-view Contrastive Learning ... Abstract:Cross-lingual named entity recognition ( ...

Cross-Lingual NER - Papers With Code

We introduce Universal NER (UNER), an open, community-driven project to develop gold-standard NER benchmarks in many languages.

Consistency Training for Cross-lingual Named Entity Recognition

We propose ConNER as a novel consistency training framework for cross-lingual NER, which comprises of: (1) translation-based consistency training on unlabeled ...

CROP: Zero-shot Cross-lingual Named Entity Recognition ... - GitHub

We propose a Cross-lingual Entity Projection framework (CROP) to enable zero-shot crosslingual NER with the help of a multilingual labeled sequence translation ...

CROP: Zero-shot Cross-lingual Named Entity Recognition ... - arXiv

We propose a Cross-lingual Entity Projection framework (CROP) to enable zero-shot cross-lingual NER with the help of a multilingual labeled sequence ...

CROP: Zero-shot Cross-lingual Named Entity Recognition with ...

Named entity recognition (NER) suffers from the scarcity of annotated training data, especially for low-resource languages without labeled data. Cross-lingual ...

Zero-Resource Cross-Lingual Named Entity Recognition

In this paper, we propose an unsupervised cross-lingual NER model that can transfer NER knowledge from one language to another in a completely unsupervised way.

Cross-Lingual Named Entity Recognition Based on Attention and ...

In addition, the accuracy of the cross-lingual NER task is improved by introducing adversarial training to obtain the shared features and word ...

Babelscape/wikineural-multilingual-ner - Hugging Face

WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER · How to use. You can use this model with Transformers ...

ntunlp/Zero-Shot-Cross-Lingual-NER - GitHub

Zero-Shot-Cross-Lingual-NER. Repository for Zero-Resource Cross-Lingual Named Entity Recognition AAAI'20 paper. · News. Dataset released. dataset for finnish ( ...

Cross-Lingual Named Entity Recognition for Heterogenous ...

... language families between the source and target languages. In this study, we find that the cross-lingual NER performance of a target language ...

Zero-Resource Cross-Lingual Named Entity Recognition

Named-entity recognition (NER) is a tagging task that seeks to locate and classify named entities in a text into predefined semantic types such as person, ...

Unsupervised cross-lingual model transfer for named entity ... - PLOS

In this work, we investigate the unsupervised cross-lingual NER with model transfer based on contextualized word representations, which greatly advances the ...

CrossNER Dataset | Papers With Code

CrossNER is a cross-domain NER (Named Entity Recognition) dataset, a fully-labeled collection of NER data spanning over five diverse domains.

Cross-Lingual Name Entity Recognition from Clinical Text Using ...

We propose a machine reading comprehension framework for Cross-Lingual NER using mixed language queries to enhance model transfer capabilities.

[PDF] Single-/Multi-Source Cross-Lingual NER via Teacher-Student ...

A teacher-student learning method, where NER models in the source languages are used as teachers to train a student model on unlabeled data in the target ...

Results of cross-lingual NER with minimal resources 1 - ResearchGate

Named entity recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying entities in sentences into pre- ...

Cross-Domain NER under a Divide-and-Transfer Paradigm

C is a set of entity types in a specific domain. NER focuses on finding entity e in the sentence. For cross-domain NER that transfers ...

Results of cross-lingual NER with minimal resources 1 - ResearchGate

For languages with no annotated resources, transferring knowledge from rich-resource languages is an effective solution for named entity recognition (NER).

Cross-Lingual Transfer Learning for Named Entity Recognition in ...

This topic investigates the effectiveness of cross-lingual transfer learning for Named Entity Recognition (NER) in low-resource languages.