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 651700 of 2381 papers

TitleStatusHype
KNNs of Semantic Encodings for Rating Prediction0
uHelp: intelligent volunteer search for mutual help communities0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection0
Syntactically Robust Training on Partially-Observed Data for Open Information ExtractionCode0
Prompting Large Language Model for Machine Translation: A Case Study0
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text RetrievalCode0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss0
Language-Informed Transfer Learning for Embodied Household Activities0
Universal Multimodal Representation for Language Understanding0
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word EmbeddingsCode0
Attention Discriminant Sampling for Point Clouds0
Scene-Aware Label Graph Learning for Multi-Label Image Classification0
Efficient Mask Correction for Click-Based Interactive Image SegmentationCode1
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation0
DIP: Dual Incongruity Perceiving Network for Sarcasm DetectionCode1
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce0
Predicting the Score of Atomic Candidate OWL Class Axioms0
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised LearningCode1
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval0
Graph-based Semantical Extractive Text AnalysisCode1
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders0
One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsCode4
Relational Sentence Embedding for Flexible Semantic MatchingCode1
GiCCS: A German in-Context Conversational Similarity Benchmark0
MAViC: Multimodal Active Learning for Video Captioning0
MED-SE: Medical Entity Definition-based Sentence Embedding0
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning0
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching0
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages0
Generalised Spherical Text Embedding0
Improving astroBERT using Semantic Textual Similarity0
Soft Alignment Objectives for Robust Adaptation of Language GenerationCode0
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text CorporaCode1
Addressing Mistake Severity in Neural Networks with Semantic Knowledge0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge0
Semantic Similarity-Based Clustering of Findings From Security Testing Tools0
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels0
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias MetricsCode0
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems0
RankCSE: Unsupervised Representation Learning via Learning to RankCode1
Semantic Similarity Models for Depression Severity Estimation0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering0
Improving word mover's distance by leveraging self-attention matrixCode1
Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language0
Bridging Fairness and Environmental Sustainability in Natural Language Processing0
Contrastive Learning with Prompt-derived Virtual Semantic Prototypes for Unsupervised Sentence EmbeddingCode0
Learning Semantic Textual Similarity via Topic-informed Discrete Latent VariablesCode0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks0
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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
8T5-11BPearson Correlation0.93Unverified
9ALBERTPearson 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