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Cross-Lingual Sentiment Classification

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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 SENTIMENT CLASSIFICATION CROSS-LINGUAL TRANSFER SENTIMENT ANALYSIS

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification

7 Jun 2018sInceraSs/ELSA

To tackle this problem, cross-lingual sentiment classification approaches aim to transfer knowledge learned from one language that has abundant labeled examples (i. e., the source language, usually English) to another language with fewer labels (i. e., the target language).

CROSS-LINGUAL SENTIMENT CLASSIFICATION MACHINE TRANSLATION REPRESENTATION LEARNING SENTIMENT ANALYSIS

Bridging the domain gap in cross-lingual document classification

16 Sep 2019laiguokun/xlu-data

We consider the setting of semi-supervised cross-lingual understanding, where labeled data is available in a source language (English), but only unlabeled data is available in the target language.

CROSS-DOMAIN DOCUMENT CLASSIFICATION CROSS-LINGUAL DOCUMENT CLASSIFICATION CROSS-LINGUAL SENTIMENT CLASSIFICATION DATA AUGMENTATION DOCUMENT CLASSIFICATION