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 401425 of 2381 papers

TitleStatusHype
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
TechNet: Technology Semantic Network Based on Patent DataCode0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk AlignerCode0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
Chinese Word Sense Embedding with SememeWSD and Synonym SetCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
CitRet: A Hybrid Model for Cited Text Span RetrievalCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
FFCI: A Framework for Interpretable Automatic Evaluation of SummarizationCode0
Learning Composition Models for Phrase EmbeddingsCode0
Finnish resources for evaluating language model semanticsCode0
Learning Semantic Textual Similarity from ConversationsCode0
CLIMB-3D: Continual Learning for Imbalanced 3D Instance SegmentationCode0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
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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