SOTAVerified

Semantic Textual Similarity

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

Papers

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Showing 1001–1050 of 2381 papers

TitleStatusHype
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System—0
Reinforcement Learning-powered Semantic Communication via Semantic SimilarityCode1
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?Code1
Multi-Attributed and Structured Text-to-Face Synthesis—0
Semantic-Preserving Adversarial Text AttacksCode1
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text ModelsCode1
Czech News Dataset for Semantic Textual Similarity—0
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity—0
Reinforce Attack: Adversarial Attack against BERT with Reinforcement Learning—0
Semantic Answer Similarity for Evaluating Question Answering Models—0
Instance Similarity Learning for Unsupervised Feature RepresentationCode1
Structure-aware Sentence Encoder in Bert-Based Siamese Network—0
System Description for the CommonGen task with the POINTER model—0
Semantic Similarity Based Evaluation for Abstractive News SummarizationCode0
Text-in-Context: Token-Level Error Detection for Table-to-Text GenerationCode0
Explanations for CommonsenseQA: New Dataset and Models—0
Bootstrapped Unsupervised Sentence Representation LearningCode1
Recovering Lexically and Semantically Reused TextsCode0
Term Expansion and FinBERT fine-tuning for Hypernym and Synonym Ranking of Financial TermsCode0
Seed Words Based Data Selection for Language Model Adaptation—0
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan—0
AutoBERT-Zero: Evolving BERT Backbone from Scratch—0
COPER: a Query-adaptable Semantics-based Search Engine for Persian COVID-19 ArticlesCode0
Multi-Level Graph Contrastive Learning—0
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning ModelsCode0
Multimodal Representation for Neural Code SearchCode1
DTAFA: Decoupled Training Architecture for Efficient FAQ Retrieval—0
Contrastive Semantic Similarity Learning for Image Captioning Evaluation with Intrinsic Auto-encoder—0
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning—0
Charformer: Fast Character Transformers via Gradient-based Subword TokenizationCode1
A Brief Study on the Effects of Training Generative Dialogue Models with a Semantic lossCode0
Enhancing user creativity: Semantic measures for idea generation—0
Investigating the Role of Negatives in Contrastive Representation Learning—0
Semantic sentence similarity: size does not always matter—0
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
Sentence Embeddings using Supervised Contrastive LearningCode0
Entity Concept-enhanced Few-shot Relation ExtractionCode1
The Struggle with Academic Plagiarism: Approaches based on Semantic Similarity—0
Self-Supervised Document Similarity Ranking via Contextualized Language Models and Hierarchical InferenceCode1
Topic-Aware Evidence Reasoning and Stance-Aware Aggregation for Fact VerificationCode0
Looking for a Role for Word Embeddings in Eye-Tracking Features Prediction: Does Semantic Similarity Help?—0
Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia—0
Cost-effective Deployment of BERT Models in Serverless Environment—0
SentSim: Crosslingual Semantic Evaluation of Machine Translation—0
A Semantic-based Method for Unsupervised Commonsense Question AnsweringCode1
Corpus-Based Paraphrase Detection Experiments and Review—0
Rethinking the constraints of multimodal fusion: case study in Weakly-Supervised Audio-Visual Video Parsing—0
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation TransferCode1
Cross-lingual Text Classification with Heterogeneous Graph Neural NetworkCode1
Augmenting Modelers with Semantic Autocompletion of Processes—0
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All datasetsSTS BenchmarkMTEBMRPCSICKSTS13STS14STS12STS15STS16MRPC DevSentEvalSICK-R

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SMARTRoBERTaDev Pearson Correlation92.8—Unverified
2DeBERTa (large)Accuracy92.5—Unverified
3SMART-BERTDev Pearson Correlation90—Unverified
4MT-DNN-SMARTPearson Correlation0.93—Unverified
5StructBERTRoBERTa ensemblePearson Correlation0.93—Unverified
6Mnet-SimPearson Correlation0.93—Unverified
7XLNet (single model)Pearson Correlation0.93—Unverified
8ALBERTPearson Correlation0.93—Unverified
9T5-11BPearson Correlation0.93—Unverified
10RoBERTaPearson Correlation0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-UAESpearman Correlation84.54—Unverified
2ST5-XXLSpearman Correlation82.63—Unverified
3ST5-LargeSpearman Correlation81.83—Unverified
4ST5-XLSpearman Correlation81.66—Unverified
5ST5-BaseSpearman Correlation81.14—Unverified
6MPNet-multilingualSpearman Correlation80.73—Unverified
7SGPT-5.8B-nliSpearman Correlation80.53—Unverified
8MPNetSpearman Correlation80.28—Unverified
9MiniLM-L12Spearman Correlation79.8—Unverified
10SimCSE-BERT-supSpearman Correlation79.12—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAccuracy93.7—Unverified
2ALBERTAccuracy93.4—Unverified
3RoBERTa (ensemble)Accuracy92.3—Unverified
4BigBirdF191.5—Unverified
5StructBERTRoBERTa ensembleAccuracy91.5—Unverified
6FLOATER-largeAccuracy91.4—Unverified
7SMARTAccuracy91.3—Unverified
8RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)Accuracy91—Unverified
9RoBERTa-large 355M + Entailment as Few-shot LearnerF191—Unverified
10SpanBERTAccuracy90.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.82—Unverified
2PromptEOL+CSE+LLaMA-30BSpearman Correlation0.82—Unverified
3PromptEOL+CSE+OPT-13BSpearman Correlation0.82—Unverified
4SimCSE-RoBERTalargeSpearman Correlation0.82—Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.81—Unverified
6SentenceBERTSpearman Correlation0.75—Unverified
7SRoBERTa-NLI-baseSpearman Correlation0.74—Unverified
8SRoBERTa-NLI-largeSpearman Correlation0.74—Unverified
9Dino (STS/̄🦕)Spearman Correlation0.74—Unverified
10SBERT-NLI-largeSpearman Correlation0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91—Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91—Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9—Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9—Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9—Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89—Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89—Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88—Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88—Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87—Unverified