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 13511400 of 2381 papers

TitleStatusHype
UTexas: Natural Language Semantics using Distributional Semantics and Probabilistic Logic0
UWB at SemEval-2016 Task 1: Semantic Textual Similarity using Lexical, Syntactic, and Semantic Information0
UWB at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity with Distributional Semantics for Chunks0
Varanalysis@SV-Ident 2022: Variable Detection and Disambiguation Based on Semantic Similarity0
Variational Inference for Logical Inference0
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions0
VCU at Semeval-2016 Task 14: Evaluating definitional-based similarity measure for semantic taxonomy enrichment0
Vector-space models for PPDB paraphrase ranking in context0
Vector spaces for historical linguistics: Using distributional semantics to study syntactic productivity in diachrony0
VENSESEVAL at Semeval-2016 Task 2 iSTS - with a full-fledged rule-based approach0
VidHalluc: Evaluating Temporal Hallucinations in Multimodal Large Language Models for Video Understanding0
Viewpoint-aware Video Summarization0
VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions0
Vision Transformer Based Semantic Communications for Next Generation Wireless Networks0
Visual Fashion-Product Search at SK Planet0
Visualising WordNet Embeddings: some preliminary results0
Visually Aligned Word Embeddings for Improving Zero-shot Learning0
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks0
Voltron: A Hybrid System For Answer Validation Based On Lexical And Distance Features0
VRep at SemEval-2016 Task 1 and Task 2: A System for Interpretable Semantic Similarity0
VUDG: A Dataset for Video Understanding Domain Generalization0
Walk-based Computation of Contextual Word Similarity0
Wasserstein distances for evaluating cross-lingual embeddings0
Wasserstein-Fisher-Rao Document Distance0
Ways of Asking and Replying in Duplicate Question Detection0
Weakly Supervised Multiclass Video Segmentation0
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network0
Web-based Semantic Similarity for Emotion Recognition in Web Objects0
Weighted Sampling for Masked Language Modeling0
Weight Initialization in Neural Language Models0
Weiwei: A Simple Unsupervised Latent Semantics based Approach for Sentence Similarity0
What Analogies Reveal about Word Vectors and their Compositionality0
What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis0
What implementation and translation teach us: the case of semantic similarity measures in wordnets0
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different0
What metaphor identification systems can tell us about metaphor-in-language0
What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning0
Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity0
WOLVESAAR at SemEval-2016 Task 1: Replicating the Success of Monolingual Word Alignment and Neural Embeddings for Semantic Textual Similarity0
Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association0
Word Embedding Evaluation in Downstream Tasks and Semantic Analogies0
Word Embeddings and Validity Indexes in Fuzzy Clustering0
Word Embeddings as Metric Recovery in Semantic Spaces0
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding0
Word net based Method for Determining Semantic Sentence Similarity through various Word Senses0
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy0
Word Semantic Similarity for Morphologically Rich Languages0
Word Sense Filtering Improves Embedding-Based Lexical Substitution0
Word Sense Induction Using Lexical Chain based Hypergraph Model0
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems0
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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