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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 951–1000 of 2381 papers

TitleStatusHype
CLISTER : Un corpus pour la similarité sémantique textuelle dans des cas cliniques en français (CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives)—0
CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives—0
Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?—0
Embeddings models for Buddhist Sanskrit—0
Sentence Pair Embeddings Based Evaluation Metric for Abstractive and Extractive Summarization—0
Building a Synthetic Biomedical Research Article Citation Linkage Corpus—0
Cross-Level Semantic Similarity for Serbian Newswire Texts—0
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation—0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating—0
The Case for Perspective in Multimodal Datasets—0
Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication—0
Improving Contextual Representation with Gloss Regularized Pre-training—0
AEON: A Method for Automatic Evaluation of NLP Test CasesCode0
Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation—0
A Contrastive Framework for Learning Sentence Representations from Pairwise and Triple-wise Perspective in Angular Space—0
Binary Encoded Word Mover’s Distance—0
Improving Relevance Quality in Product Search using High-Precision Query-Product Semantic Similarity—0
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders—0
Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique—0
Word Embeddings and Validity Indexes in Fuzzy Clustering—0
A Multi-level Alignment Training Scheme for Video-and-Language Grounding—0
Adversarial Contrastive Learning by Permuting Cluster Assignments—0
Exploring Dimensionality Reduction Techniques in Multilingual Transformers—0
Unsupervised Attention-based Sentence-Level Meta-Embeddings from Contextualised Language Models—0
What If: Generating Code to Answer Simulation QuestionsCode0
Farmer-Bot: An Interactive Bot for Farmers—0
Efficient comparison of sentence embeddings—0
Analyzing how BERT performs entity matchingCode0
A bilingual approach to specialised adjectives through word embeddings in the karstology domain—0
Semantic Pose Verification for Outdoor Visual Localization with Self-supervised Contrastive Learning—0
Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model—0
SMARAGD: Learning SMatch for Accurate and Rapid Approximate Graph DistanceCode0
Semantic Similarity Computing for Scientific Academic Conferences fused with domain features—0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
Scientific and Technological Information Oriented Semantics-adversarial and Media-adversarial Cross-media Retrieval—0
TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation—0
Compressing Sentence Representation for Semantic Retrieval via Homomorphic Projective DistillationCode0
Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations—0
SimMatch: Semi-supervised Learning with Similarity MatchingCode0
'Tis but Thy Name: Semantic Question Answering Evaluation with 11M Names for 1M Entities—0
Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports—0
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation—0
SemSup: Semantic Supervision for Simple and Scalable Zero-shot GeneralizationCode0
JAMES: Normalizing Job Titles with Multi-Aspect Graph Embeddings and Reasoning—0
Autoencoding Low-Resolution MRI for Semantically Smooth Interpolation of Anisotropic MRI—0
Moving Other Way: Exploring Word Mover Distance Extensions—0
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals—0
Semantic Similarity Computing Model Based on Multi Model Fine-Grained Nonlinear Fusion—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