Supervised Learning of Universal Sentence Representations from Natural\n Language Inference Data
Alexis Conneau, Douwe Kiela, Holger Schwenk, Loïc Barrault, Antoine Bordes
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
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
- GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
- Publicly Available Clinical→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
- How to Fine-Tune BERT for Text Classification?→Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…Legacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Long Short-Term MemoryLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Adam: A Method for Stochastic OptimizationLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→[No title in the source record — DROPS (Schloss Dagstuhl – Leibniz Center for Informatics…Legacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→On the Properties of Neural Machine Translation: Encoder–Decoder ApproachesLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→A neural probabilistic language modelLegacy edge — source detail unavailable
- Supervised Learning of Universal Sentence Representations from Natural\n Language Inferen…→A Structured Self-attentive Sentence EmbeddingLegacy edge — source detail unavailable
- Sequence to Sequence Learning with Neural Networks→Long Short-Term MemoryLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Distributed Representations of Sentences and Documents→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- Distributed Representations of Words and Phrases and their Compositionality→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Glove: Global Vectors for Word Representation→A unified architecture for natural language processingLegacy edge — source detail unavailable
- Glove: Global Vectors for Word Representation→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Glove: Global Vectors for Word Representation→Natural Language Processing (almost) from ScratchLegacy edge — source detail unavailable
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→A unified architecture for natural language processingLegacy edge — source detail unavailable
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→A unified architecture for natural language processingLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Distributed Representations of Sentences and DocumentsLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- Publicly Available Clinical→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Publicly Available Clinical→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- Publicly Available Clinical→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- On the Properties of Neural Machine Translation: Encoder–Decoder Approaches→Sequence to Sequence Learning with Neural NetworksLegacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…Legacy edge — source detail unavailable
- Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- How to Fine-Tune BERT for Text Classification?→A unified architecture for natural language processingLegacy edge — source detail unavailable
- How to Fine-Tune BERT for Text Classification?→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- How to Fine-Tune BERT for Text Classification?→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- How to Fine-Tune BERT for Text Classification?→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→BERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingLegacy edge — source detail unavailable
- SimCSE: Simple Contrastive Learning of Sentence Embeddings→Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksLegacy 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?
complete
Nothing in this record contradicts itself and no field we check is missing.
- supports5 author record(s) attached.
- supports48 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
sha256 6e314d9c6052d1ed…