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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 1564 papers

TitleStatusHype
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented GenerationCode1
CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkCode1
Graph-based Semantical Extractive Text AnalysisCode1
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersCode1
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMsCode1
ComStreamClust: a communicative multi-agent approach to text clustering in streaming dataCode1
HIRL: A General Framework for Hierarchical Image Representation LearningCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
CmdCaliper: A Semantic-Aware Command-Line Embedding Model and Dataset for Security ResearchCode1
Improving Language Understanding by Generative Pre-TrainingCode1
Improving word mover's distance by leveraging self-attention matrixCode1
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive LearningCode1
Efficient Mask Correction for Click-Based Interactive Image SegmentationCode1
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersCode1
DIP: Dual Incongruity Perceiving Network for Sarcasm DetectionCode1
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level ExtractionCode1
A Semantic-based Method for Unsupervised Commonsense Question AnsweringCode1
Demystifying and Extracting Fault-indicating Information from Logs for Failure DiagnosisCode1
Attentive Normalization for Conditional Image GenerationCode1
A large-scale computational study of content preservation measures for text style transfer and paraphrase generationCode1
DeepSim: Semantic similarity metrics for learned image registrationCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
R&R: Metric-guided Adversarial Sentence GenerationCode1
A Simple Long-Tailed Recognition Baseline via Vision-Language ModelCode1
AstroCLIP: A Cross-Modal Foundation Model for GalaxiesCode1
Describing Sets of Images with Textual-PCACode1
Audio-Visual Class-Incremental LearningCode1
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language ModelsCode1
Distributional Formal SemanticsCode1
Do Vision and Language Encoders Represent the World Similarly?Code1
DECAF: Deep Extreme Classification with Label FeaturesCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity RewardsCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Automatic Generation of Topic LabelsCode1
Balancing Lexical and Semantic Quality in Abstractive SummarizationCode1
3D-AVS: LiDAR-based 3D Auto-Vocabulary SegmentationCode1
ELITE: Embedding-Less retrieval with Iterative Text ExplorationCode1
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose EstimationCode1
C-STS: Conditional Semantic Textual SimilarityCode1
Evaluating Document Representations for Content-based Legal Literature RecommendationsCode1
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
Cross-lingual Text Classification with Heterogeneous Graph Neural NetworkCode1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated LearningCode1
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task SamplingCode1
Few-Shot Object Detection via Association and DIscriminationCode1
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model BiasCode1
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective PartitioningCode1
Show:102550
← PrevPage 2 of 32Next →
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