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 14011450 of 2381 papers

TitleStatusHype
Semantic flow in language networksCode0
ERNIE: Enhanced Language Representation with Informative EntitiesCode0
Don't Blame Distributional Semantics if it can't do Entailment0
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs0
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual StorytellingCode0
Detecting Collocations Similarity via Logical-Linguistic Model0
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts0
Personalized Ranking in eCommerce Search0
Model Comparison for Semantic GroupingCode0
Don't Settle for Average, Go for the Max: Fuzzy Sets and Max-Pooled Word VectorsCode0
Supervised Online Hashing via Hadamard Codebook LearningCode0
Wasserstein-Fisher-Rao Document Distance0
Deep Metric Learning Beyond Binary SupervisionCode0
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding0
ERNIE: Enhanced Representation through Knowledge IntegrationCode3
Continual Learning for Sentence Representations Using ConceptorsCode0
Inpatient2Vec: Medical Representation Learning for Inpatients0
MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations PredictionCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
Word Similarity Datasets for Thai: Construction and EvaluationCode0
LICD: A Language-Independent Approach for Aspect Category Detection0
A new approach for measuring semantic similarity of ontology concepts using dynamic programming0
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning0
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval0
A Multi-Task Approach for Disentangling Syntax and Semantics in Sentence RepresentationsCode0
Import2vec - Learning Embeddings for Software LibrariesCode0
Learning semantic sentence representations from visually grounded language without lexical knowledgeCode0
Cross-modal Subspace Learning via Kernel Correlation Maximization and Discriminative Structure Preserving0
Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification using Semantic MetricsCode0
Ranked List Loss for Deep Metric LearningCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Glyce: Glyph-vectors for Chinese Character RepresentationsCode0
Sentence transition matrix: An efficient approach that preserves sentence semantics0
Investigating Antigram Behaviour using Distributional Semantics0
ParaBank: Monolingual Bitext Generation and Sentential Paraphrasing via Lexically-constrained Neural Machine Translation0
Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval0
Improving Context-Aware Semantic Relationships in Sparse Mobile Datasets0
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match0
TextBugger: Generating Adversarial Text Against Real-world ApplicationsCode0
Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia0
MedSim: A Novel Semantic Similarity Measure in Bio-medical Knowledge Graphs0
Are you tough enough? Framework for Robustness Validation of Machine Comprehension SystemsCode0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions0
Twitter-based traffic information system based on vector representations for words0
Learning semantic similarity in a continuous space0
Generative Models for Simulating Mobility Trajectories0
The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain0
Sequence Learning with RNNs for Medical Concept Normalization in User-Generated Texts0
Generalised Differential Privacy for Text Document Processing0
Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors0
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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