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 76–100 of 1564 papers

Title	Date	Tasks	Status	Hype	Score
A Simple Long-Tailed Recognition Baseline via Vision-Language Model	Nov 29, 2021	Contrastive LearningLanguage Modeling	CodeCode Available	1	5
AstroCLIP: A Cross-Modal Foundation Model for Galaxies	Oct 4, 2023	Contrastive Learningmodel	CodeCode Available	1	5
Describing Sets of Images with Textual-PCA	Oct 21, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1	5
Audio-Visual Class-Incremental Learning	Aug 21, 2023	class-incremental learningClass Incremental Learning	CodeCode Available	1	5
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models	Apr 11, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1	5
Distributional Formal Semantics	Mar 2, 2021	NegationSemantic Similarity	CodeCode Available	1	5
Do Vision and Language Encoders Represent the World Similarly?	Jan 10, 2024	Graph Matchingimage-classification	CodeCode Available	1	5
DECAF: Deep Extreme Classification with Label Features	Aug 1, 2021	ClassificationExtreme Multi-Label Classification	CodeCode Available	1	5
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation	Dec 17, 2024	Contrastive LearningImage Segmentation	CodeCode Available	1	5
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards	Jun 27, 2020	Machine Translationreinforcement-learning	CodeCode Available	1	5
AutoGCL: Automated Graph Contrastive Learning via Learnable View Generators	Sep 21, 2021	Contrastive LearningGraph Representation Learning	CodeCode Available	1	5
Automatic Generation of Topic Labels	May 29, 2020	DescriptiveInformation Retrieval	CodeCode Available	1	5
Balancing Lexical and Semantic Quality in Abstractive Summarization	May 17, 2023	Abstractive Text SummarizationRe-Ranking	CodeCode Available	1	5
3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation	Jun 13, 2024	Autonomous DrivingObject	CodeCode Available	1	5
ELITE: Embedding-Less retrieval with Iterative Text Exploration	May 17, 2025	graph constructionRAG	CodeCode Available	1	5
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation	Aug 10, 2023	6D Pose Estimation using RGBglobal-optimization	CodeCode Available	1	5
C-STS: Conditional Semantic Textual Similarity	May 24, 2023	Information RetrievalLanguage Model Evaluation	CodeCode Available	1	5
Evaluating Document Representations for Content-based Legal Literature Recommendations	Apr 28, 2021	Recommendation SystemsRepresentation Learning	CodeCode Available	1	5
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction	Jul 9, 2022	Explanation GenerationFairness	CodeCode Available	1	5
Cross-lingual Text Classification with Heterogeneous Graph Neural Network	May 24, 2021	ClassificationGraph Neural Network	CodeCode Available	1	5
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning	Dec 14, 2023	Computational EfficiencyFederated Learning	CodeCode Available	1	5
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task Sampling	May 10, 2022	Few-Shot Image ClassificationGeneral Classification	CodeCode Available	1	5
Few-Shot Object Detection via Association and DIscrimination	Nov 23, 2021	Few-Shot Object DetectionObject	CodeCode Available	1	5
CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias	Aug 24, 2023	DiversityLanguage Modeling	CodeCode Available	1	5
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective Partitioning	Sep 2, 2024	Code CompletionCombinatorial Optimization	CodeCode Available	1	5

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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