About

Cross-lingual document classification refers to the task of using data and models available for one language for which ample such resources are available (e.g., English) to solve classification tasks in another, commonly low-resource, language.

Benchmarks

TREND DATASET BEST METHOD PAPER TITLE PAPER CODE COMPARE

Subtasks

Datasets

Greatest papers with code

ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

4 Oct 2019microsoft/DeepSpeed

Large deep learning models offer significant accuracy gains, but training billions to trillions of parameters is challenging.

CROSS-LINGUAL DOCUMENT CLASSIFICATION IMAGE GENERATION LANGUAGE MODELLING

Robust Cross-lingual Embeddings from Parallel Sentences

28 Dec 2019epfml/sent2vec

Recent advances in cross-lingual word embeddings have primarily relied on mapping-based methods, which project pretrained word embeddings from different languages into a shared space through a linear transformation.

CROSS-LINGUAL DOCUMENT CLASSIFICATION DOCUMENT CLASSIFICATION WORD EMBEDDINGS ZERO-SHOT CROSS-LINGUAL DOCUMENT CLASSIFICATION

BilBOWA: Fast Bilingual Distributed Representations without Word Alignments

9 Oct 2014eske/multivec

We introduce BilBOWA (Bilingual Bag-of-Words without Alignments), a simple and computationally-efficient model for learning bilingual distributed representations of words which can scale to large monolingual datasets and does not require word-aligned parallel training data.

CLASSIFICATION CROSS-LINGUAL DOCUMENT CLASSIFICATION DOCUMENT CLASSIFICATION

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.

CLASSIFICATION CROSS-LINGUAL DOCUMENT CLASSIFICATION CROSS-LINGUAL SENTIMENT CLASSIFICATION CROSS-LINGUAL TRANSFER SENTIMENT ANALYSIS