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 526–550 of 1564 papers

Title	Date	Tasks	Status	Score
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization	Jan 1, 2022	DiversitySemantic Segmentation	CodeCode Available	5
Investigating the Effects of Word Substitution Errors on Sentence Embeddings	Nov 16, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Evaluating text coherence based on semantic similarity graph	Aug 1, 2017	graph constructionSemantic Similarity	—Unverified	0
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric	Aug 12, 2019	DescriptiveDiversity	—Unverified	0
Evaluating semantic models with word-sentence relatedness	Mar 23, 2016	ImplicaturesSemantic Similarity	—Unverified	0
Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety	Apr 9, 2025	Information RetrievalRAG	—Unverified	0
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network	Jun 17, 2020	Graph Neural NetworkNoun Phrase Canonicalization	—Unverified	0
Approximating Human-Like Few-shot Learning with GPT-based Compression	Aug 14, 2023	Data CompressionFew-Shot Learning	—Unverified	0
Evaluating Lexical Similarity to build Sentiment Similarity	May 1, 2016	Information RetrievalRetrieval	—Unverified	0
Can LLMs Replace Human Evaluators? An Empirical Study of LLM-as-a-Judge in Software Engineering	Feb 10, 2025	Code GenerationCode Summarization	—Unverified	0
Evaluating GenAI for Simplifying Texts for Education: Improving Accuracy and Consistency for Enhanced Readability	Jan 15, 2025	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization	Oct 25, 2023	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Approche supervis\'ee de calcul de similarit\'e s\'emantique entre paires de phrases (Supervised approach to compute semantic similarity between sentence pairs)	Jun 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
A Graph-theoretic Summary Evaluation for ROUGE	Oct 1, 2018	Abstractive Text SummarizationSemantic Similarity	—Unverified	0
Evaluating distributed word representations for capturing semantics of biomedical concepts	Jul 1, 2015	ArticlesChunking	—Unverified	0
Evaluating Deduplication Techniques for Economic Research Paper Titles with a Focus on Semantic Similarity using NLP and LLMs	Oct 2, 2024	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Evaluating Contrastive Models for Instance-based Image Retrieval	Apr 30, 2021	Image RetrievalRetrieval	—Unverified	0
Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation	May 25, 2022	Recommendation SystemsSemantic Similarity	—Unverified	0
Ethereum Fraud Detection via Joint Transaction Language Model and Graph Representation Learning	Sep 9, 2024	AttributeFraud Detection	—Unverified	0
\'Etat de l'art : mesures de similarit\'e s\'emantique locales et algorithmes globaux pour la d\'esambigu\" lexicale \`a base de connaissances (State of the art : Local Semantic Similarity Measures and Global Algorithmes for Knowledge-based Word Sense Disambiguation) [in French]	Jun 1, 2012	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Estimating Text Similarity based on Semantic Concept Embeddings	Jan 9, 2024	MarketingSemantic Similarity	—Unverified	0
Calculating Semantic Similarity between Academic Articles using Topic Event and Ontology	Nov 30, 2017	Articlesdocument understanding	—Unverified	0
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension	Jan 16, 2020	Machine Reading ComprehensionMultiple-choice	—Unverified	0
A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit	Aug 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
A Comparison of Semantic Similarity Methods for Maximum Human Interpretability	Oct 21, 2019	Information RetrievalRetrieval	—Unverified	0

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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