SOTAVerified

Cross-Lingual Document Classification

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.

Papers

Showing 1–25 of 25 papers

TitleStatusHype
A Corpus for Multilingual Document Classification in Eight LanguagesCode1
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and BeyondCode1
MultiFiT: Efficient Multi-lingual Language Model Fine-tuningCode1
Multilingual and cross-lingual document classification: A meta-learning approachCode1
ZeRO: Memory Optimizations Toward Training Trillion Parameter ModelsCode1
Multilingual Seq2seq Training with Similarity Loss for Cross-Lingual Document Classification—0
NMT-based Cross-lingual Document Embeddings—0
Learning Cross-lingual Word Embeddings via Matrix Co-factorization—0
Exploiting Cross-Lingual Subword Similarities in Low-Resource Document Classification—0
A Multiplicative Model for Learning Distributed Text-Based Attribute Representations—0
A Multi-task Approach to Learning Multilingual Representations—0
Learning Monolingual Compositional Representations via Bilingual Supervision—0
Margin-aware Unsupervised Domain Adaptation for Cross-lingual Text Labeling—0
Variational learning across domains with triplet information—0
Variational learning across domains with triplet information—0
Wasserstein distances for evaluating cross-lingual embeddings—0
KIT-Multi: A Translation-Oriented Multilingual Embedding Corpus—0
Learning Cross-lingual Representations with Matrix Factorization—0
BilBOWA: Fast Bilingual Distributed Representations without Word AlignmentsCode0
Learning Crosslingual Word Embeddings without Bilingual CorporaCode0
Multilingual Distributed Representations without Word AlignmentCode0
Multilingual Models for Compositional Distributed SemanticsCode0
Robust Cross-lingual Embeddings from Parallel SentencesCode0
Adversarial Deep Averaging Networks for Cross-Lingual Sentiment ClassificationCode0
Bridging the domain gap in cross-lingual document classificationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1XLMft UDAAccuracy96.05—Unverified
2MultiFiT, pseudoAccuracy89.42—Unverified
3Massively Multilingual Sentence EmbeddingsAccuracy77.95—Unverified
4BiLSTM (UN)Accuracy74.52—Unverified
5BiLSTM (Europarl)Accuracy72.83—Unverified
6MultiCCA + CNNAccuracy72.38—Unverified
#ModelMetricClaimedVerifiedStatus
1XLMft UDAAccuracy96.8—Unverified
2MultiFiT, pseudoAccuracy79.1—Unverified
3Massively Multilingual Sentence EmbeddingsAccuracy77.33—Unverified
4MultiCCA + CNNAccuracy72.5—Unverified
5BiLSTM (UN)Accuracy69.5—Unverified
6BiLSTM (Europarl)Accuracy66.65—Unverified
#ModelMetricClaimedVerifiedStatus
1XLMft UDAAccuracy93.32—Unverified
2MultiFiT, pseudoAccuracy82.48—Unverified
3MultiCCA + CNNAccuracy74.73—Unverified
4BiLSTM (UN)Accuracy71.97—Unverified
5Massively Multilingual Sentence EmbeddingsAccuracy71.93—Unverified
#ModelMetricClaimedVerifiedStatus
1XLMft UDAAccuracy96.95—Unverified
2MultiFiT, pseudoAccuracy91.62—Unverified
3Massively Multilingual Sentence EmbeddingsAccuracy84.78—Unverified
4MultiCCA + CNNAccuracy81.2—Unverified
5BiLSTM (Europarl)Accuracy71.83—Unverified
#ModelMetricClaimedVerifiedStatus
1XLMft UDAAccuracy89.7—Unverified
2MultiFiT, pseudoAccuracy67.83—Unverified
3Massively Multilingual Sentence EmbeddingsAccuracy67.78—Unverified
4BiLSTM (UN)Accuracy61.42—Unverified
5MultiCCA + CNNAccuracy60.8—Unverified
#ModelMetricClaimedVerifiedStatus
1MultiFiT, pseudoAccuracy76.02—Unverified
2Massively Multilingual Sentence EmbeddingsAccuracy69.43—Unverified
3MultiCCA + CNNAccuracy69.38—Unverified
4BiLSTM (Europarl)Accuracy60.73—Unverified
#ModelMetricClaimedVerifiedStatus
1MultiFiT, pseudoAccuracy69.57—Unverified
2MultiCCA + CNNAccuracy67.63—Unverified
3Massively Multilingual Sentence EmbeddingsAccuracy60.3—Unverified
#ModelMetricClaimedVerifiedStatus
1Biinclusion (Euro500kReuters)Accuracy92.7—Unverified
2Bi+Accuracy88.1—Unverified
3biCVM+Accuracy86.2—Unverified
#ModelMetricClaimedVerifiedStatus
1Biinclusion (Euro500kReuters)Accuracy84.4—Unverified
2Bi+Accuracy79.2—Unverified
3biCVM+Accuracy76.9—Unverified
#ModelMetricClaimedVerifiedStatus
1BiLSTM (Europarl)Accuracy75.45—Unverified