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Cross-Lingual Transfer

16 papers with code · Natural Language Processing
Subtask of Cross-Lingual

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Greatest papers with code

Adversarial Deep Averaging Networks for Cross-Lingual Sentiment Classification

TACL 2018 ccsasuke/adan

To tackle the sentiment classification problem in low-resource languages without adequate annotated data, we propose an Adversarial Deep Averaging Network (ADAN) to transfer the knowledge learned from labeled data on a resource-rich source language to low-resource languages where only unlabeled data exists.

CROSS-LINGUAL DOCUMENT CLASSIFICATION CROSS-LINGUAL TRANSFER SENTIMENT ANALYSIS

Choosing Transfer Languages for Cross-Lingual Learning

ACL 2019 neulab/langrank

Cross-lingual transfer, where a high-resource transfer language is used to improve the accuracy of a low-resource task language, is now an invaluable tool for improving performance of natural language processing (NLP) on low-resource languages.

CROSS-LINGUAL TRANSFER

Massively Multilingual Transfer for NER

ACL 2019 afshinrahimi/mmner

In cross-lingual transfer, NLP models over one or more source languages are applied to a low-resource target language.

CROSS-LINGUAL TRANSFER FEW-SHOT LEARNING NAMED ENTITY RECOGNITION

Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages

NAACL 2018 pywirrarika/naki

Morphological segmentation for polysynthetic languages is challenging, because a word may consist of many individual morphemes and training data can be extremely scarce.

CROSS-LINGUAL TRANSFER DATA AUGMENTATION

Multi-Source Cross-Lingual Model Transfer: Learning What to Share

ACL 2019 microsoft/Multilingual-Model-Transfer

In this work, we focus on the multilingual transfer setting where training data in multiple source languages is leveraged to further boost target language performance.

CROSS-LINGUAL TRANSFER TEXT CLASSIFICATION TRANSFER LEARNING

Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need!

COLING 2018 UKPLab/coling2018-xling_argument_mining

Argumentation mining (AM) requires the identification of complex discourse structures and has lately been applied with success monolingually.

CROSS-LINGUAL TRANSFER MACHINE TRANSLATION WORD EMBEDDINGS