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 651–700 of 2381 papers

TitleStatusHype
KNNs of Semantic Encodings for Rating Prediction—0
uHelp: intelligent volunteer search for mutual help communities—0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection—0
Syntactically Robust Training on Partially-Observed Data for Open Information ExtractionCode0
Prompting Large Language Model for Machine Translation: A Case Study—0
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text RetrievalCode0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss—0
Language-Informed Transfer Learning for Embodied Household Activities—0
Universal Multimodal Representation for Language Understanding—0
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word EmbeddingsCode0
Attention Discriminant Sampling for Point Clouds—0
Scene-Aware Label Graph Learning for Multi-Label Image Classification—0
Efficient Mask Correction for Click-Based Interactive Image SegmentationCode1
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation—0
DIP: Dual Incongruity Perceiving Network for Sarcasm DetectionCode1
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce—0
Predicting the Score of Atomic Candidate OWL Class Axioms—0
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised LearningCode1
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval—0
Graph-based Semantical Extractive Text AnalysisCode1
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders—0
One Embedder, Any Task: Instruction-Finetuned Text EmbeddingsCode4
Relational Sentence Embedding for Flexible Semantic MatchingCode1
GiCCS: A German in-Context Conversational Similarity Benchmark—0
MAViC: Multimodal Active Learning for Video Captioning—0
MED-SE: Medical Entity Definition-based Sentence Embedding—0
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning—0
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching—0
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages—0
Generalised Spherical Text Embedding—0
Improving astroBERT using Semantic Textual Similarity—0
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 Knowledge—0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge—0
Semantic Similarity-Based Clustering of Findings From Security Testing Tools—0
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels—0
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 Systems—0
RankCSE: Unsupervised Representation Learning via Learning to RankCode1
Semantic Similarity Models for Depression Severity Estimation—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
Improving word mover's distance by leveraging self-attention matrixCode1
Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
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 tasks—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SMARTRoBERTaDev Pearson Correlation92.8—Unverified
2DeBERTa (large)Accuracy92.5—Unverified
3SMART-BERTDev Pearson Correlation90—Unverified
4MT-DNN-SMARTPearson Correlation0.93—Unverified
5StructBERTRoBERTa ensemblePearson Correlation0.93—Unverified
6Mnet-SimPearson Correlation0.93—Unverified
7XLNet (single model)Pearson Correlation0.93—Unverified
8ALBERTPearson Correlation0.93—Unverified
9T5-11BPearson Correlation0.93—Unverified
10RoBERTaPearson Correlation0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-UAESpearman Correlation84.54—Unverified
2ST5-XXLSpearman Correlation82.63—Unverified
3ST5-LargeSpearman Correlation81.83—Unverified
4ST5-XLSpearman Correlation81.66—Unverified
5ST5-BaseSpearman Correlation81.14—Unverified
6MPNet-multilingualSpearman Correlation80.73—Unverified
7SGPT-5.8B-nliSpearman Correlation80.53—Unverified
8MPNetSpearman Correlation80.28—Unverified
9MiniLM-L12Spearman Correlation79.8—Unverified
10SimCSE-BERT-supSpearman Correlation79.12—Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAccuracy93.7—Unverified
2ALBERTAccuracy93.4—Unverified
3RoBERTa (ensemble)Accuracy92.3—Unverified
4BigBirdF191.5—Unverified
5StructBERTRoBERTa ensembleAccuracy91.5—Unverified
6FLOATER-largeAccuracy91.4—Unverified
7SMARTAccuracy91.3—Unverified
8RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)Accuracy91—Unverified
9RoBERTa-large 355M + Entailment as Few-shot LearnerF191—Unverified
10SpanBERTAccuracy90.9—Unverified
#ModelMetricClaimedVerifiedStatus
1PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.82—Unverified
2PromptEOL+CSE+LLaMA-30BSpearman Correlation0.82—Unverified
3PromptEOL+CSE+OPT-13BSpearman Correlation0.82—Unverified
4SimCSE-RoBERTalargeSpearman Correlation0.82—Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.81—Unverified
6SentenceBERTSpearman Correlation0.75—Unverified
7SRoBERTa-NLI-baseSpearman Correlation0.74—Unverified
8SRoBERTa-NLI-largeSpearman Correlation0.74—Unverified
9Dino (STS/̄🦕)Spearman Correlation0.74—Unverified
10SBERT-NLI-largeSpearman Correlation0.74—Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91—Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91—Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9—Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9—Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9—Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89—Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89—Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88—Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88—Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87—Unverified