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conftrace_

semantic textual similarity

122 papers

STS

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