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 11511200 of 2381 papers

TitleStatusHype
Studying Lobby Influence in the European Parliament0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric0
Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique0
Suggesting Sentences for ESL using Kernel Embeddings0
Discovering Elementary Discourse Units in Textual Data Using Canonical Correlation Analysis0
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail0
Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks0
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation0
Supersense Embeddings: A Unified Model for Supersense Interpretation, Prediction, and Utilization0
Supervised Clustering of Questions into Intents for Dialog System Applications0
Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation0
Graded Suspiciousness of Adversarial Texts to Human0
SXUCFN-Core: STS Models Integrating FrameNet Parsing Information0
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity0
System Description for the CommonGen task with the POINTER model0
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task0
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity0
TAKELAB: Medical Information Extraction and Linking with MINERAL0
TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA0
TakeLab: Systems for Measuring Semantic Text Similarity0
Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection0
Target-Centric Features for Translation Quality Estimation0
Targeted and Troublesome: Tracking and Advertising on Children's Websites0
Target word prediction and paraphasia classification in spoken discourse0
TA-SBERT: Token Attention Sentence-BERT for Improving Sentence Representation0
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering0
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity0
TATO: Leveraging on Multiple Strategies for Semantic Textual Similarity0
TCDSCSS: Dimensionality Reduction to Evaluate Texts of Varying Lengths - an IR Approach0
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity0
Team GPLSI. Approach for automated fact checking0
TeamZ: Measuring Semantic Textual Similarity for Spanish Using an Overlap-Based Approach0
Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia0
Term Based Semantic Clusters for Very Short Text Classification0
Testing the limits of unsupervised learning for semantic similarity0
TexIm FAST: Text-to-Image Representation for Semantic Similarity Evaluation using Transformers0
Text Classification with Negative Supervision0
Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach0
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity0
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models0
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation0
Texts in, meaning out: neural language models in semantic similarity task for Russian0
The BQ Corpus: A Large-scale Domain-specific Chinese Corpus For Sentence Semantic Equivalence Identification0
The Case for Perspective in Multimodal Datasets0
The Challenge of Composition in Distributional and Formal Semantics0
The Corpus Replication Task0
The CW Corpus: A New Resource for Evaluating the Identification of Complex Words0
Dynamics and Reachability of Learning Tasks0
The Effect of Negative Sampling Strategy on Capturing Semantic Similarity in Document Embeddings0
Show:102550
← PrevPage 24 of 48Next →

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