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

Showing 476500 of 1564 papers

TitleStatusHype
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 Measures0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight0
Targeted and Troublesome: Tracking and Advertising on Children's Websites0
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation0
Improving Generalization of Image Captioning with Unsupervised Prompt Learning0
Comparing scalable strategies for generating numerical perspectives0
Fountain -- an intelligent contextual assistant combining knowledge representation and language models for manufacturing risk identification0
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 Hallucination0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database0
Transformer-based Joint Source Channel Coding for Textual Semantic Communication0
Improving Semantic Similarity Measure Within a Recommender System Based-on RDF Graphs0
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 Consistency0
Improving Text Semantic Similarity Modeling through a 3D Siamese Network0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
Improving Trace Link Recommendation by Using Non-Isotropic Distances and Combinations0
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 Adapters0
MWPRanker: An Expression Similarity Based Math Word Problem Retriever0
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Benchmark Results

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