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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 151–175 of 1564 papers

Title	Date	Tasks	Status	Hype
Automatic Generation of Topic Labels	May 29, 2020	DescriptiveInformation Retrieval	CodeCode Available	1
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive Learning	Sep 20, 2023	Contrastive LearningRetrieval	CodeCode Available	1
Catch-A-Waveform: Learning to Generate Audio from a Single Short Example	Jun 11, 2021	Audio GenerationSemantic Similarity	CodeCode Available	1
RACE: Retrieval-Augmented Commit Message Generation	Mar 5, 2022	Information RetrievalRetrieval	CodeCode Available	1
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval	Oct 30, 2024	RAGResponse Generation	CodeCode Available	1
AstroCLIP: A Cross-Modal Foundation Model for Galaxies	Oct 4, 2023	Contrastive Learningmodel	CodeCode Available	1
CDF-RAG: Causal Dynamic Feedback for Adaptive Retrieval-Augmented Generation	Apr 17, 2025	RAGRetrieval	CodeCode Available	1
Calibrating Higher-Order Statistics for Few-Shot Class-Incremental Learning with Pre-trained Vision Transformers	Apr 9, 2024	class-incremental learningClass Incremental Learning	CodeCode Available	1
Automated radiology report generation using conditioned transformers	Mar 26, 2021	Medical Report GenerationSemantic Similarity	CodeCode Available	1
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias	Aug 24, 2023	DiversityLanguage Modeling	CodeCode Available	1
Efficient Neural Ranking using Forward Indexes	Oct 12, 2021	CPUDocument Ranking	CodeCode Available	1
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning	Dec 14, 2023	Computational EfficiencyFederated Learning	CodeCode Available	1
3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation	Jun 13, 2024	Autonomous DrivingObject	CodeCode Available	1
Few-Shot Object Detection via Association and DIscrimination	Nov 23, 2021	Few-Shot Object DetectionObject	CodeCode Available	1
R&R: Metric-guided Adversarial Sentence Generation	Apr 17, 2021	Adversarial AttackGeneral Classification	CodeCode Available	1
Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity	Mar 10, 2022	Adversarial AttackSemantic Similarity	CodeCode Available	1
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic Factors	Oct 8, 2021	Language ModelingLanguage Modelling	CodeCode Available	1
Graph-based Semantical Extractive Text Analysis	Dec 19, 2022	Keyword ExtractionSemantic Similarity	CodeCode Available	1
Attentive Normalization for Conditional Image Generation	Apr 8, 2020	Conditional Image GenerationImage Generation	CodeCode Available	1
Attributable Visual Similarity Learning	Mar 28, 2022	Metric LearningSemantic Similarity	CodeCode Available	1
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards	Jun 27, 2020	Machine Translationreinforcement-learning	CodeCode Available	1
Audio-Visual Class-Incremental Learning	Aug 21, 2023	class-incremental learningClass Incremental Learning	CodeCode Available	1
Histopathology Whole Slide Image Analysis with Heterogeneous Graph Representation Learning	Jul 9, 2023	AttributeGraph Representation Learning	CodeCode Available	1
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERT	Mar 22, 2021	ClassificationGeneral Classification	CodeCode Available	1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based Retrieval	Apr 18, 2022	Adversarial AttackAdversarial Defense	CodeCode Available	1

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All datasets Annotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICK BIOSSES CHIP-STS ClinicalSTS MedSTS

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	93.38	—	Unverified
2	SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	91.51	—	Unverified
3	SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	90.69	—	Unverified
4	BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	89.16	—	Unverified
5	BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")	F1	89.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.75	—	Unverified
2	SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.3	—	Unverified
3	SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.3	—	Unverified
4	BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	86.8	—	Unverified
5	BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Doc2VecC	MSE	0.31	—	Unverified
2	LSTM (Tai et al., 2015)	MSE	0.28	—	Unverified
3	Bidirectional LSTM (Tai et al., 2015)	MSE	0.27	—	Unverified
4	combine-skip (Kiros et al., 2015)	MSE	0.27	—	Unverified
5	Dependency Tree-LSTM (Tai et al., 2015)	MSE	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	BioLinkBERT (large)	Pearson Correlation	0.94	—	Unverified
2	BioLinkBERT (base)	Pearson Correlation	0.93	—	Unverified
3	NCBI_BERT(base) (P+M)	Pearson Correlation	0.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MacBERT-large	Macro F1	85.6	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CharacterBERT (base, medical, ensemble)	Pearson Correlation	85.62	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	NCBI_BERT(base) (P+M)	Pearson Correlation	0.85	—	Unverified