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 376–400 of 1564 papers

Title	Date	Tasks	Status
Deep Lifelong Cross-modal Hashing	Apr 26, 2023	Cross-Modal RetrievalLifelong learning	—Unverified
Analysis of Word Embeddings Using Fuzzy Clustering	Jul 17, 2019	ClusteringSemantic Similarity	—Unverified
Cross-modal Subspace Learning via Kernel Correlation Maximization and Discriminative Structure Preserving	Mar 26, 2019	Semantic SimilaritySemantic Textual Similarity	—Unverified
DeepPurple: Estimating Sentence Semantic Similarity using N-gram Regression Models and Web Snippets	Jul 1, 2012	Machine TranslationNatural Language Inference	—Unverified
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation	Jun 1, 2013	Domain AdaptationMachine Translation	—Unverified
Cross-modal Deep Metric Learning with Multi-task Regularization	Mar 21, 2017	Cross-Modal RetrievalMetric Learning	—Unverified
Author-aware Aspect Topic Sentiment Model to Retrieve Supporting Opinions from Reviews	Sep 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval	Jan 26, 2015	Image RetrievalMulti-Label Image Retrieval	—Unverified
Cross-media Similarity Metric Learning with Unified Deep Networks	Apr 14, 2017	Metric LearningRepresentation Learning	—Unverified
DeepTrax: Embedding Graphs of Financial Transactions	Jul 16, 2019	BIG-bench Machine LearningFraud Detection	—Unverified
Automatic Visual Theme Discovery from Joint Image and Text Corpora	Sep 7, 2016	ClusteringDescriptive	—Unverified
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment	Mar 27, 2024	RetrievalSemantic Similarity	—Unverified
DEMO: A Statistical Perspective for Efficient Image-Text Matching	May 19, 2024	Image-text matchingModel Optimization	—Unverified
Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model	Mar 29, 2022	Cross-Modal RetrievalLanguage Modeling	—Unverified
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor	Jun 7, 2025	DenoisingKnowledge Tracing	—Unverified
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models	Mar 17, 2024	Adversarial AttackClassification	—Unverified
Deploying Deep Ranking Models for Search Verticals	Jun 6, 2018	BIG-bench Machine LearningSemantic Similarity	—Unverified
A density compensation-based path computing model for measuring semantic similarity	Jun 3, 2015	Semantic SimilaritySemantic Textual Similarity	—Unverified
A Vector Space for Distributional Semantics for Entailment	Jul 13, 2016	Lexical EntailmentSemantic Similarity	—Unverified
DeSpin: a prototype system for detecting spin in biomedical publications	Jul 1, 2020	ArticlesRelation Extraction	—Unverified
Detecting Backdoor Attacks via Similarity in Semantic Communication Systems	Feb 6, 2025	Semantic CommunicationSemantic Similarity	—Unverified
Detecting Collocations Similarity via Logical-Linguistic Model	May 1, 2019	modelSemantic Similarity	—Unverified
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts	May 1, 2019	Semantic SimilaritySemantic Textual Similarity	—Unverified
Duplicate Detection in a Knowledge Base with PIKA	Feb 1, 2022	Graph Neural NetworkInformation Retrieval	—Unverified
Efficient Audio Captioning Transformer with Patchout and Text Guidance	Apr 6, 2023	Audio captioningCaption Generation	—Unverified

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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