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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1051–1100 of 2381 papers

TitleStatusHype
ArbEngVec : Arabic-English Cross-Lingual Word Embedding Model—0
Enhancing user creativity: Semantic measures for idea generation—0
Enhancing Unsupervised Sentence Similarity Methods with Deep Contextualised Word Representations—0
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering—0
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights—0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy—0
Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization—0
A Rank-Based Similarity Metric for Word Embeddings—0
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability—0
Enhancing conversational quality in language learning chatbots: An evaluation of GPT4 for ASR error correction—0
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval—0
Enhanced Word Representations for Bridging Anaphora Resolution—0
End-To-End Graph-based Deep Semi-Supervised Learning—0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology—0
A Quantitative Approach to Evaluating Open-Source EHR Systems for Indian Healthcare—0
A Joint Model for Answer Sentence Ranking and Answer Extraction—0
A Comprehensive Framework for Semantic Similarity Analysis of Human and AI-Generated Text Using Transformer Architectures and Ensemble Techniques—0
Encoding Gated Translation Memory into Neural Machine Translation—0
BUT-TYPED: Using domain knowledge for computing typed similarity—0
Employing Word Representations and Regularization for Domain Adaptation of Relation Extraction—0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Bundle Optimization for Multi-aspect Embedding—0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge—0
Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?—0
Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions—0
Embed-Search-Align: DNA Sequence Alignment using Transformer Models—0
Building Specialized Bilingual Lexicons Using Word Sense Disambiguation—0
A Preliminary Evaluation of the Impact of Syntactic Structure in Semantic Textual Similarity and Semantic Relatedness Tasks—0
Embedding Transfer via Smooth Contrastive Loss—0
Embeddings models for Buddhist Sanskrit—0
Building Semantic Grams of Human Knowledge—0
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction—0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database—0
A practical method for occupational skills detection in Vietnamese job listings—0
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization—0
Optimal Embedding Calibration for Symbolic Music Similarity—0
Building Lexical Vector Representations from Concept Definitions—0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight—0
Approximating Human-Like Few-shot Learning with GPT-based Compression—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
A Comparison of Vector-based Representations for Semantic Composition—0
3D Compositional Zero-shot Learning with DeCompositional Consensus—0
Building Concept Graphs from Monolingual Dictionary Entries—0
EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Building a Synthetic Biomedical Research Article Citation Linkage Corpus—0
Approche supervis\'ee de calcul de similarit\'e s\'emantique entre paires de phrases (Supervised approach to compute semantic similarity between sentence pairs)—0
Efficient Multi-Modal Embeddings from Structured Data—0
Building a Semantic Transparency Dataset of Chinese Nominal Compounds: A Practice of Crowdsourcing Methodology—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