Cross-lingual Language Model Pretraining
Guillaume Lample, Alexis Conneau
The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.
this paper
works it cites
works citing it
node size = global citations · hover for the full title
Citation edge evidence
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- Transformers: State-of-the-Art Natural Language Processing→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- Language Models are Few-Shot Learners→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- LXMERT: Learning Cross-Modality Encoder Representations from Transformers→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Cross-lingual Language Model PretrainingLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Long Short-Term MemoryLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Automatic differentiation in PyTorchLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Enriching Word Vectors with Subword InformationLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Attention Is All You NeedLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Backpropagation through time: what it does and how to do itLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→MosesLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
- Cross-lingual Language Model Pretraining→Exploiting Similarities among Languages for Machine TranslationLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→MosesLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→Attention Is All You NeedLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- BERTScore: Evaluating Text Generation with BERT→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→Automatic differentiation in PyTorchLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
- HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- LXMERT: Learning Cross-Modality Encoder Representations from Transformers→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
- LXMERT: Learning Cross-Modality Encoder Representations from Transformers→GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language UnderstandingLegacy edge — source detail unavailable
- LXMERT: Learning Cross-Modality Encoder Representations from Transformers→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Transformers: State-of-the-Art Natural Language Processing→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Long Short-Term MemoryLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Recursive Deep Models for Semantic Compositionality Over a Sentiment TreebankLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Enriching Word Vectors with Subword InformationLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Attention Is All You NeedLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→LXMERT: Learning Cross-Modality Encoder Representations from TransformersLegacy edge — source detail unavailable
- Pre-trained models for natural language processing: A survey→Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerLegacy edge — source detail unavailable
- Language Models are Few-Shot Learners→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- Language Models are Few-Shot Learners→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
- mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer→HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit…Legacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
Links
Download BibTeX · Download RIS · DOI · Open access copy · OpenAlex record
Topics
| Topic Modeling | Computer Science |
| Natural Language Processing Techniques | Computer Science |
| Multimodal Machine Learning Applications | Computer Science |
Is this record sound?
partial
One field of this record is missing or disagrees with another. What is shown below is what the source publishes.
- supports2 author record(s) attached.
- supports35 reference(s) recorded.
- weakensThe DOI names 1901 but the record dates this to 2,019. One of the two is about a different paper.
- supportsA title is present.
Provenance
sha256 7bc26169e93749d1…