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 301350 of 2381 papers

TitleStatusHype
AMRITA\_CEN@SemEval-2015: Paraphrase Detection for Twitter using Unsupervised Feature Learning with Recursive Autoencoders0
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning0
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens0
Amrita\_CEN at SemEval-2016 Task 1: Semantic Relation from Word Embeddings in Higher Dimension0
Accurate semantic textual similarity for cleaning noisy parallel corpora using semantic machine translation evaluation metric: The NRC supervised submissions to the Parallel Corpus Filtering task0
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
A text autoencoder from transformer for fast encoding language representation0
ATEB: Evaluating and Improving Advanced NLP Tasks for Text Embedding Models0
ATA-Sem: Chunk-based Determination of Semantic Text Similarity0
A Systematic Study of Semantic Vector Space Model Parameters0
Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese0
Towards Building Efficient Sentence BERT Models using Layer Pruning0
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models0
A Survey on Text Simplification0
Addressing Mistake Severity in Neural Networks with Semantic Knowledge0
A Survey on Automatically-Constructed WordNets and their Evaluation: Lexical and Word Embedding-based Approaches0
A Summariser based on Human Memory Limitations and Lexical Competition0
A Mixed Learning Objective for Neural Machine Translation0
CLEAR: Contrastive Learning for Sentence Representation0
CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives0
Cluster Analysis with Deep Embeddings and Contrastive Learning0
A Study of Metrics of Distance and Correlation Between Ranked Lists for Compositionality Detection0
A Study of Hybrid Similarity Measures for Semantic Relation Extraction0
A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase Task0
A Study of Heterogeneous Similarity Measures for Semantic Relation Extraction0
A Structured Distributional Semantic Model : Integrating Structure with Semantics0
A Meta-Evaluation of Style and Attribute Transfer Metrics0
Addressing Cross-Lingual Word Sense Disambiguation on Low-Density Languages: Application to Persian0
A Structured Distributional Semantic Model for Event Co-reference0
Am\'elioration de la similarit\'e s\'emantique vectorielle par m\'ethodes non-supervis\'ees (Improved the Semantic Similarity with Weighting Vectors)0
Associative and Semantic Features Extracted From Web-Harvested Corpora0
Ambiguity-Aware In-Context Learning with Large Language Models0
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification0
Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE0
Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset0
Adapting VerbNet to French using existing resources0
A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce0
Assessing the Eligibility of Backtranslated Samples Based on Semantic Similarity for the Paraphrase Identification Task0
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking0
A Massive Scale Semantic Similarity Dataset of Historical English0
Assessing Chinese Readability using Term Frequency and Lexical Chain0
AspectCSE: Sentence Embeddings for Aspect-based Semantic Textual Similarity Using Contrastive Learning and Structured Knowledge0
ALOHa: A New Measure for Hallucination in Captioning Models0
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity0
Adapting Sentence Transformers for the Aviation Domain0
Class-Similarity Based Label Smoothing for Confidence Calibration0
Cleaning noisy wordnets0
Clustering and Diversifying Web Search Results with Graph-Based Word Sense Induction0
A Siamese CNN Architecture for Learning Chinese Sentence Similarity0
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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