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 451–500 of 1564 papers

TitleStatusHype
Embed-Search-Align: DNA Sequence Alignment using Transformer Models—0
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive LearningCode1
Studying Lobby Influence in the European Parliament—0
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation—0
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding—0
Semantic Information Extraction for Text Data with Probability Graph—0
Ambiguity-Aware In-Context Learning with Large Language Models—0
DebCSE: Rethinking Unsupervised Contrastive Sentence Embedding Learning in the Debiasing Perspective—0
Feature Engineering in Learning-to-Rank for Community Question Answering Task—0
Text Encoders Lack Knowledge: Leveraging Generative LLMs for Domain-Specific Semantic Textual Similarity—0
Zero-shot Learning with Minimum Instruction to Extract Social Determinants and Family History from Clinical Notes using GPT Model—0
How to Evaluate Semantic Communications for Images with ViTScore Metric?—0
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue—0
Parameter Efficient Audio Captioning With Faithful Guidance Using Audio-text Shared Latent Representation—0
LinkTransformer: A Unified Package for Record Linkage with Transformer Language ModelsCode1
A Computational Evaluation Framework for Singable Lyric Translation—0
Sentence Embedding Models for Ancient Greek Using Multilingual Knowledge DistillationCode1
Variational Information Pursuit with Large Language and Multimodal Models for Interpretable Predictions—0
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model BiasCode1
Audio-Visual Class-Incremental LearningCode1
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces—0
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity—0
Semantic Similarity Loss for Neural Source Code SummarizationCode0
Approximating Human-Like Few-shot Learning with GPT-based Compression—0
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised LearningCode0
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose EstimationCode1
Identifying Essential Hub Genes and Protein Complexes in Malaria GO Data using Semantic Similarity Measures—0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight—0
Targeted and Troublesome: Tracking and Advertising on Children's Websites—0
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation—0
Improving Generalization of Image Captioning with Unsupervised Prompt Learning—0
Comparing scalable strategies for generating numerical perspectives—0
Fountain -- an intelligent contextual assistant combining knowledge representation and language models for manufacturing risk identification—0
VacancySBERT: the approach for representation of titles and skills for semantic similarity search in the recruitment domainCode0
User-Controlled Knowledge Fusion in Large Language Models: Balancing Creativity and Hallucination—0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database—0
Transformer-based Joint Source Channel Coding for Textual Semantic Communication—0
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs—0
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report GenerationCode1
Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual GroundingCode1
Class-relation Knowledge Distillation for Novel Class DiscoveryCode1
Regression-free Blind Image Quality Assessment with Content-Distortion Consistency—0
Improving Text Semantic Similarity Modeling through a 3D Siamese Network—0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations—0
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation LearningCode1
Novel Categories Discovery Via Constraints on Empirical Prediction StatisticsCode0
Efficient Domain Adaptation of Sentence Embeddings Using Adapters—0
MWPRanker: An Expression Similarity Based Math Word Problem Retriever—0
Show:102550
← PrevPage 10 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