Co-occurring keywords · papers mentioning both
Papers
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
ACL 2022
SlovakBERT: Slovak Masked Language Model
EMNLP 2022
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning
ACL 2022
Unsupervised Sentence Representation via Contrastive Learning with Mixing Negatives
AAAI 2022
Varanalysis@SV-Ident 2022: Variable Detection and Disambiguation Based on Semantic Similarity
COLING 2022
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
ACL 2021
Cost-effective Deployment of BERT Models in Serverless Environment
NAACL 2021
Distilling Word Meaning in Context from Pre-trained Language Models
EMNLP 2021
Generating Datasets with Pretrained Language Models
EMNLP 2021
Recovering Lexically and Semantically Reused Texts
ACL 2021
Semantic Re-tuning with Contrastive Tension
ICLR 2021
SimCSE: Simple Contrastive Learning of Sentence Embeddings
EMNLP 2021
Structure-aware Sentence Encoder in Bert-Based Siamese Network
ACL 2021
TSDAE: Using Transformer-based Sequential Denoising Auto-Encoderfor Unsupervised Sentence Embedding Learning
EMNLP 2021
An Unsupervised Sentence Embedding Method by Mutual Information Maximization
EMNLP 2020
COD3S: Diverse Generation with Discrete Semantic Signatures
EMNLP 2020
Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity
ACL 2020
KorNLI and KorSTS: New Benchmark Datasets for Korean Natural Language Understanding
EMNLP 2020
Learning from Unlabelled Data for Clinical Semantic Textual Similarity
EMNLP 2020
Sentence Meta-Embeddings for Unsupervised Semantic Textual Similarity
ACL 2020
StructBERT: Incorporating Language Structures into Pre-training for Deep Language Understanding
ICLR 2020
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model
ACL 2019
Continual Learning for Sentence Representations Using Conceptors
NAACL 2019
Correlations between Word Vector Sets
EMNLP 2019
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word Vectors
ICLR 2019