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

Metric: Accuracy (higher is better)

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#	Model↕	Accuracy▼	Extra Data	Paper	Date↕	Code
1	XLMft UDA	96.05	No	Bridging the domain gap in cross-lingual documen...	2019-09-16	Code
2	MultiFiT, pseudo	89.42	No	MultiFiT: Efficient Multi-lingual Language Model...	2019-09-10	Code
3	Massively Multilingual Sentence Embeddings	77.95	No	Massively Multilingual Sentence Embeddings for Z...	2018-12-26	Code
4	BiLSTM (UN)	74.52	No	A Corpus for Multilingual Document Classificatio...	2018-05-24	Code
5	BiLSTM (Europarl)	72.83	No	A Corpus for Multilingual Document Classificatio...	2018-05-24	Code
6	MultiCCA + CNN	72.38	No	A Corpus for Multilingual Document Classificatio...	2018-05-24	Code

#1XLMft UDASOTA
96.05
Accuracy· 2019-09-16
Bridging the domain gap in cross-lingual document classification Code
#2MultiFiT, pseudoSOTA
89.42
Accuracy· 2019-09-10
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning Code
#3Massively Multilingual Sentence EmbeddingsSOTA
77.95
Accuracy· 2018-12-26
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond Code
#4BiLSTM (UN)SOTA
74.52
Accuracy· 2018-05-24
A Corpus for Multilingual Document Classification in Eight Languages Code
#5BiLSTM (Europarl)
72.83
Accuracy· 2018-05-24
A Corpus for Multilingual Document Classification in Eight Languages Code
#6MultiCCA + CNN
72.38
Accuracy· 2018-05-24
A Corpus for Multilingual Document Classification in Eight Languages Code