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 401450 of 2381 papers

TitleStatusHype
CFILT-CORE: Semantic Textual Similarity using Universal Networking Language0
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan0
Are Word Embedding-based Features Useful for Sarcasm Detection?0
Character Set Construction for Chinese Language Learning0
Characters or Morphemes: How to Represent Words?0
Cost-effective Deployment of BERT Models in Serverless Environment0
Cost-effective Deployment of BERT Models in Serverless Environment0
Check-Eval: A Checklist-based Approach for Evaluating Text Quality0
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces0
A corpus-based evaluation method for Distributional Semantic Models0
CICBUAPnlp: Graph-Based Approach for Answer Selection in Community Question Answering Task0
CIMON: Towards High-quality Hash Codes0
ASAP-II: From the Alignment of Phrases to Textual Similarity0
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity0
ClaC: Semantic Relatedness of Words and Phrases0
Classification of Semantic Paraphasias: Optimization of a Word Embedding Model0
Classifying Frames at the Sentence Level in News Articles0
Classifying Verses of the Quran using Doc2vec0
Are Manually Prepared Affective Lexicons Really Useful for Sentiment Analysis0
A Computational Evaluation Framework for Singable Lyric Translation0
Class-Similarity Based Label Smoothing for Confidence Calibration0
Cleaning noisy wordnets0
CLEAR: Contrastive Learning for Sentence Representation0
A Semantically Motivated Approach to Compute ROUGE Scores0
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels0
CLISTER : Un corpus pour la similarité sémantique textuelle dans des cas cliniques en français (CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives)0
Cluster Analysis with Deep Embeddings and Contrastive Learning0
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction0
CAT: Cross-Attention Transformer for One-Shot Object Detection0
Clustering Prominent People and Organizations in Topic-Specific Text Corpora0
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection0
ALANIS at SemEval-2018 Task 3: A Feature Engineering Approach to Irony Detection in English Tweets0
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity0
CNGL: Grading Student Answers by Acts of Translation0
CNRC at SemEval-2016 Task 1: Experiments in Crosslingual Semantic Textual Similarity0
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension0
A Sentence is Worth 128 Pseudo Tokens: A Semantic-Aware Contrastive Learning Framework for Sentence Embeddings0
Code Clone Detection based on Event Embedding and Event Dependency0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors0
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge0
Cognate Identification using Machine Translation0
A Short Answer Grading System in Chinese by Support Vector Approach0
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement0
Cognitively Motivated Distributional Representations of Meaning0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models0
Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images0
Care Episode Retrieval0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization0
Corpus-Based Paraphrase Detection Experiments and Review0
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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