SOTAVerified

Semantic Similarity

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

Papers

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Showing 101–150 of 1564 papers

TitleStatusHype
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective PartitioningCode1
C-STS: Conditional Semantic Textual SimilarityCode1
Mining Gaze for Contrastive Learning toward Computer-Assisted DiagnosisCode1
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information FlowCode1
DECAF: Deep Extreme Classification with Label FeaturesCode1
Multimodal Representation for Neural Code SearchCode1
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose EstimationCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised LearningCode1
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
DeepSim: Semantic similarity metrics for learned image registrationCode1
One-Step Offline Distillation of Diffusion-based Models via Koopman ModelingCode1
Describing Sets of Images with Textual-PCACode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
On the Sentence Embeddings from Pre-trained Language ModelsCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationCode1
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level ExtractionCode1
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual GroundingCode1
Distinguish Confusion in Legal Judgment Prediction via Revised Relation KnowledgeCode1
Do Vision and Language Encoders Represent the World Similarly?Code1
Few-Shot Object Detection via Association and DIscriminationCode1
DriveDiTFit: Fine-tuning Diffusion Transformers for Autonomous DrivingCode1
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive LearningCode1
Evaluating Document Representations for Content-based Legal Literature RecommendationsCode1
Attentive Normalization for Conditional Image GenerationCode1
R&R: Metric-guided Adversarial Sentence GenerationCode1
Attributable Visual Similarity LearningCode1
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
Emotional RAG: Enhancing Role-Playing Agents through Emotional RetrievalCode1
Audio-Visual Class-Incremental LearningCode1
AstroCLIP: A Cross-Modal Foundation Model for GalaxiesCode1
3D-AVS: LiDAR-based 3D Auto-Vocabulary SegmentationCode1
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training DataCode1
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersCode1
Efficient Neural Ranking using Forward IndexesCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Automated radiology report generation using conditioned transformersCode1
Encoding Surgical Videos as Latent Spatiotemporal Graphs for Object and Anatomy-Driven ReasoningCode1
A Semantic-based Method for Unsupervised Commonsense Question AnsweringCode1
A large-scale computational study of content preservation measures for text style transfer and paraphrase generationCode1
Balancing Lexical and Semantic Quality in Abstractive SummarizationCode1
Frequency-driven Imperceptible Adversarial Attack on Semantic SimilarityCode1
Generating Natural Language Attacks in a Hard Label Black Box SettingCode1
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic FactorsCode1
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language ModelsCode1
A Simple Long-Tailed Recognition Baseline via Vision-Language ModelCode1
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All datasetsAnnotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICKBIOSSESCHIP-STSClinicalSTSMedSTS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F193.38—Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F191.51—Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F190.69—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.16—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.12—Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.75—Unverified
2SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F186.8—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F184.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Doc2VecCMSE0.31—Unverified
2LSTM (Tai et al., 2015)MSE0.28—Unverified
3Bidirectional LSTM (Tai et al., 2015)MSE0.27—Unverified
4combine-skip (Kiros et al., 2015)MSE0.27—Unverified
5Dependency Tree-LSTM (Tai et al., 2015)MSE0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)Pearson Correlation0.94—Unverified
2BioLinkBERT (base)Pearson Correlation0.93—Unverified
3NCBI_BERT(base) (P+M)Pearson Correlation0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1MacBERT-largeMacro F185.6—Unverified
#ModelMetricClaimedVerifiedStatus
1CharacterBERT (base, medical, ensemble)Pearson Correlation85.62—Unverified
#ModelMetricClaimedVerifiedStatus
1NCBI_BERT(base) (P+M)Pearson Correlation0.85—Unverified