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

Showing 10011050 of 2381 papers

TitleStatusHype
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging0
Homograph Disambiguation Through Selective Diacritic Restoration0
Evaluating semantic models with word-sentence relatedness0
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan0
A Large Resource of Patterns for Verbal Paraphrases0
How do Humans and Language Models Reason About Creativity? A Comparative Analysis0
How to choose "Good" Samples for Text Data Augmentation0
How to Evaluate Semantic Communications for Images with ViTScore Metric?0
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise on Machine Translation0
Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety0
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching0
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces0
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset0
HSI: A Holistic Style Injector for Arbitrary Style Transfer0
Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis0
HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts0
Human Variability vs. Machine Consistency: A Linguistic Analysis of Texts Generated by Humans and Large Language Models0
Evaluating Lexical Similarity to build Sentiment Similarity0
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability0
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels0
Evaluating distributed word representations for capturing semantics of biomedical concepts0
HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels0
Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs0
CAT: Cross-Attention Transformer for One-Shot Object Detection0
ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets0
A Computational Evaluation Framework for Singable Lyric Translation0
Evaluating Contrastive Models for Instance-based Image Retrieval0
ETS: Domain Adaptation and Stacking for Short Answer Scoring0
ETS: Discriminative Edit Models for Paraphrase Scoring0
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models0
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning0
\'Etat de l'art : mesures de similarit\'e s\'emantique locales et algorithmes globaux pour la d\'esambigu\" lexicale \`a base de connaissances (State of the art : Local Semantic Similarity Measures and Global Algorithmes for Knowledge-based Word Sense Disambiguation) [in French]0
Estimating Text Similarity based on Semantic Concept Embeddings0
Care Episode Retrieval0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions0
Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework0
Estimating Mutual Information Between Dense Word Embeddings0
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations0
Capturing Discriminative Attributes in a Distributional Space: Task Proposal0
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space0
Are BLEU and Meaning Representation in Opposition?0
A Knowledge-Based Approach to Word Sense Disambiguation by distributional selection and semantic features0
A Computational Approach to Measuring the Semantic Divergence of Cognates0
ABDN at SemEval-2018 Task 10: Recognising Discriminative Attributes using Context Embeddings and WordNet0
A 2D Semantic-Aware Position Encoding for Vision Transformers0
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs0
Equation Embeddings0
Can Translation Memories afford not to use paraphrasing?0
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SMARTRoBERTaDev Pearson Correlation92.8Unverified
2DeBERTa (large)Accuracy92.5Unverified
3SMART-BERTDev Pearson Correlation90Unverified
4MT-DNN-SMARTPearson Correlation0.93Unverified
5StructBERTRoBERTa ensemblePearson Correlation0.93Unverified
6Mnet-SimPearson Correlation0.93Unverified
7XLNet (single model)Pearson Correlation0.93Unverified
8ALBERTPearson Correlation0.93Unverified
9T5-11BPearson Correlation0.93Unverified
10RoBERTaPearson Correlation0.92Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-UAESpearman Correlation84.54Unverified
2ST5-XXLSpearman Correlation82.63Unverified
3ST5-LargeSpearman Correlation81.83Unverified
4ST5-XLSpearman Correlation81.66Unverified
5ST5-BaseSpearman Correlation81.14Unverified
6MPNet-multilingualSpearman Correlation80.73Unverified
7SGPT-5.8B-nliSpearman Correlation80.53Unverified
8MPNetSpearman Correlation80.28Unverified
9MiniLM-L12Spearman Correlation79.8Unverified
10SimCSE-BERT-supSpearman Correlation79.12Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAccuracy93.7Unverified
2ALBERTAccuracy93.4Unverified
3RoBERTa (ensemble)Accuracy92.3Unverified
4BigBirdF191.5Unverified
5StructBERTRoBERTa ensembleAccuracy91.5Unverified
6FLOATER-largeAccuracy91.4Unverified
7SMARTAccuracy91.3Unverified
8RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)Accuracy91Unverified
9RoBERTa-large 355M + Entailment as Few-shot LearnerF191Unverified
10SpanBERTAccuracy90.9Unverified
#ModelMetricClaimedVerifiedStatus
1PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.82Unverified
2PromptEOL+CSE+LLaMA-30BSpearman Correlation0.82Unverified
3PromptEOL+CSE+OPT-13BSpearman Correlation0.82Unverified
4SimCSE-RoBERTalargeSpearman Correlation0.82Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.81Unverified
6SentenceBERTSpearman Correlation0.75Unverified
7SRoBERTa-NLI-baseSpearman Correlation0.74Unverified
8SRoBERTa-NLI-largeSpearman Correlation0.74Unverified
9Dino (STS/̄🦕)Spearman Correlation0.74Unverified
10SBERT-NLI-largeSpearman Correlation0.74Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87Unverified