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 676–700 of 1564 papers

Title	Date	Tasks	Status	Hype
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022	Jun 29, 2022	Multi-Instance RetrievalRetrieval	CodeCode Available	0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval	Jun 25, 2022	Cross-Modal RetrievalRetrieval	—Unverified	0
Adversarial Self-Attention for Language Understanding	Jun 25, 2022	Machine Reading ComprehensionNamed Entity Recognition (NER)	CodeCode Available	0
Knowledge Graph Fusion for Language Model Fine-tuning	Jun 21, 2022	Language ModelingLanguage Modelling	—Unverified	0
SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity Evaluation	Jun 20, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
Zero-shot object goal visual navigation	Jun 15, 2022	Knowledge GraphsObject	CodeCode Available	1
Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation	Jun 13, 2022	graph constructionSemantic Similarity	—Unverified	0
Highlights of Semantics in Multi-objective Genetic Programming	Jun 10, 2022	Binary ClassificationDiversity	—Unverified	0
Building a Synthetic Biomedical Research Article Citation Linkage Corpus	Jun 1, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Sentence Pair Embeddings Based Evaluation Metric for Abstractive and Extractive Summarization	Jun 1, 2022	Extractive SummarizationNatural Language Inference	—Unverified	0
Multilingual Financial Documentation Summarization by Team_Tredence for FNS2022	Jun 1, 2022	Abstractive Text SummarizationDocument Summarization	—Unverified	0
Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?	Jun 1, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Embeddings models for Buddhist Sanskrit	Jun 1, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Cross-Level Semantic Similarity for Serbian Newswire Texts	Jun 1, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives	Jun 1, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
TURJUMAN: A Public Toolkit for Neural Arabic Machine Translation	May 27, 2022	Machine TranslationSemantic Similarity	CodeCode Available	1
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity	May 27, 2022	Generative Adversarial NetworkImage Reconstruction	—Unverified	0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI	May 26, 2022	Liver Segmentationregression	—Unverified	0
HIRL: A General Framework for Hierarchical Image Representation Learning	May 26, 2022	Image ClusteringRepresentation Learning	CodeCode Available	1
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
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating	May 24, 2022	nlg evaluationSemantic Similarity	—Unverified	0
The Case for Perspective in Multimodal Datasets	May 22, 2022	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication	May 22, 2022	Semantic CommunicationSemantic Similarity	—Unverified	0
AEON: A Method for Automatic Evaluation of NLP Test Cases	May 13, 2022	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	0
Improving Contextual Representation with Gloss Regularized Pre-training	May 13, 2022	Semantic SimilaritySemantic Textual Similarity	—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 uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")	F1	89.3	—	Unverified
3	SciBERT cased (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