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 751800 of 2381 papers

TitleStatusHype
Exploring Semantic Representation in Brain Activity Using Word Embeddings0
BeLightRec: A lightweight recommender system enhanced with BERT0
End-To-End Graph-based Deep Semi-Supervised Learning0
A Quantitative Approach to Evaluating Open-Source EHR Systems for Indian Healthcare0
An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence0
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval0
DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations0
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy0
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations0
Enhancing user creativity: Semantic measures for idea generation0
Determining Semantic Textual Similarity using Natural Deduction Proofs0
Evaluations at Work: Measuring the Capabilities of GenAI in Use0
Can Translation Memories afford not to use paraphrasing?0
Equation Embeddings0
Determining Compositionality of Expresssions Using Various Word Space Models and Methods0
Detecting Singleton Review Spammers Using Semantic Similarity0
Capturing Anomalies in the Choice of Content Words in Compositional Distributional Semantic Space0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events0
ESCL: Equivariant Self-Contrastive Learning for Sentence Representations0
Estimating Mutual Information Between Dense Word Embeddings0
Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework0
A Knowledge-Based Approach to Word Sense Disambiguation by distributional selection and semantic features0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)0
\'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
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning0
Care Episode Retrieval0
ETS: Discriminative Edit Models for Paraphrase Scoring0
ETS: Domain Adaptation and Stacking for Short Answer Scoring0
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts0
Evaluating Contrastive Models for Instance-based Image Retrieval0
A Fine-Grained Analysis of BERTScore0
Evaluating distributed word representations for capturing semantics of biomedical concepts0
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability0
Evaluating Lexical Similarity to build Sentiment Similarity0
Evaluating Multimodal Representations on Sentence Similarity: vSTS, Visual Semantic Textual Similarity Dataset0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity0
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces0
Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety0
Detecting Metaphor by Contextual Analogy0
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric0
Evaluating text coherence based on semantic similarity graph0
Evaluating the Effectiveness of Efficient Neural Architecture Search for Sentence-Pair Tasks0
Detecting linguistic idiosyncratic interests in autism using distributional semantic models0
Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples0
Evaluating the Utility of Model Configurations and Data Augmentation on Clinical Semantic Textual Similarity0
Evaluating Topic Coherence Using Distributional Semantics0
BanglaEmbed: Efficient Sentence Embedding Models for a Low-Resource Language Using Cross-Lingual Distillation Techniques0
Detecting Language Impairments in Autism: A Computational Analysis of Semi-structured Conversations with Vector Semantics0
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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