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
Just Rank: Rethinking Evaluation with Word and Sentence SimilaritiesCode1
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
DECAF: Deep Extreme Classification with Label FeaturesCode1
Benchmarking large language models for biomedical natural language processing applications and recommendationsCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Learning Deep Semantic Model for Code Search using CodeSearchNet CorpusCode1
Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT ModelsCode1
Linked Credibility Reviews for Explainable Misinformation DetectionCode1
CODER: Knowledge infused cross-lingual medical term embedding for term normalizationCode1
Longitudinal Data and a Semantic Similarity Reward for Chest X-Ray Report GenerationCode1
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text CorporaCode1
MedFILIP: Medical Fine-grained Language-Image Pre-trainingCode1
Context-Aware Semantic Similarity Measurement for Unsupervised Word Sense DisambiguationCode1
Automated radiology report generation using conditioned transformersCode1
Mitigating Hallucinations in Large Vision-Language Models by Adaptively Constraining Information FlowCode1
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic SimilarityCode1
Automatic Generation of Topic LabelsCode1
Multimodal Representation for Neural Code SearchCode1
Towards Better Understanding of User Satisfaction in Open-Domain Conversational SearchCode1
Noise Contrastive Estimation-based Matching Framework for Low-Resource Security Attack Pattern RecognitionCode1
One-Step Offline Distillation of Diffusion-based Models via Koopman ModelingCode1
On Semantic Similarity in Video RetrievalCode1
On the Sentence Embeddings from Pre-trained Language ModelsCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
PCPNet: An Efficient and Semantic-Enhanced Transformer Network for Point Cloud PredictionCode1
CharacterBERT: Reconciling ELMo and BERT for Word-Level Open-Vocabulary Representations From CharactersCode1
CBLUE: A Chinese Biomedical Language Understanding Evaluation BenchmarkCode1
Catch-A-Waveform: Learning to Generate Audio from a Single Short ExampleCode1
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented GenerationCode1
Class-relation Knowledge Distillation for Novel Class DiscoveryCode1
Binary Code Summarization: Benchmarking ChatGPT/GPT-4 and Other Large Language ModelsCode1
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision TransformersCode1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based RetrievalCode1
Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMsCode1
3D-AVS: LiDAR-based 3D Auto-Vocabulary SegmentationCode1
ComStreamClust: a communicative multi-agent approach to text clustering in streaming dataCode1
AstroCLIP: A Cross-Modal Foundation Model for GalaxiesCode1
Context Compression for Auto-regressive Transformers with Sentinel TokensCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
Cross-lingual Text Classification with Heterogeneous Graph Neural NetworkCode1
C-STS: Conditional Semantic Textual SimilarityCode1
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
Deep Representational Re-tuning using Contrastive TensionCode1
DeepSim: Semantic similarity metrics for learned image registrationCode1
DiffSim: Taming Diffusion Models for Evaluating Visual SimilarityCode1
DIP: Dual Incongruity Perceiving Network for Sarcasm DetectionCode1
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained 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