Cross-Lingual Document Classification on MLDoc Zero-Shot English-to-Chinese

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	XLMft UDA	93.32	No	Bridging the domain gap in cross-lingual documen...	2019-09-16	Code
2	MultiFiT, pseudo	82.48	No	MultiFiT: Efficient Multi-lingual Language Model...	2019-09-10	Code
3	MultiCCA + CNN	74.73	No	A Corpus for Multilingual Document Classificatio...	2018-05-24	Code
4	BiLSTM (UN)	71.97	No	A Corpus for Multilingual Document Classificatio...	2018-05-24	Code
5	Massively Multilingual Sentence Embeddings	71.93	No	Massively Multilingual Sentence Embeddings for Z...	2018-12-26	Code

#1XLMft UDASOTA
93.32
Accuracy· 2019-09-16
Bridging the domain gap in cross-lingual document classification Code
#2MultiFiT, pseudoSOTA
82.48
Accuracy· 2019-09-10
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning Code
#3MultiCCA + CNNSOTA
74.73
Accuracy· 2018-05-24
A Corpus for Multilingual Document Classification in Eight Languages Code
#4BiLSTM (UN)
71.97
Accuracy· 2018-05-24
A Corpus for Multilingual Document Classification in Eight Languages Code
#5Massively Multilingual Sentence Embeddings
71.93
Accuracy· 2018-12-26
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond Code