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 1051–1075 of 1564 papers

Title	Date	Tasks	Status	Hype
A Thesaurus for Biblical Hebrew	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing	May 1, 2020	NavigateSemantic Similarity	—Unverified	0
Towards Automatic Thesaurus Construction and Enrichment.	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Extrapolating Binder Style Word Embeddings to New Words	May 1, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO	Apr 30, 2020	Image CaptioningRepresentation Learning	CodeCode Available	1
Word Rotator's Distance	Apr 30, 2020	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
Combining Word Embeddings and N-grams for Unsupervised Document Summarization	Apr 25, 2020	DiversityDocument Summarization	—Unverified	0
Evolution of Semantic Similarity -- A Survey	Apr 19, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised Learning	Apr 17, 2020	CPULanguage Modeling	CodeCode Available	1
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric	Apr 10, 2020	Machine TranslationSemantic Similarity	—Unverified	0
Attentive Normalization for Conditional Image Generation	Apr 8, 2020	Conditional Image GenerationImage Generation	CodeCode Available	1
Text-Guided Neural Image Inpainting	Apr 7, 2020	DescriptiveImage Generation	CodeCode Available	1
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking	Apr 6, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
A random forest based computational model for predicting novel lncRNA-disease associations	Mar 27, 2020	feature selectionPrediction	CodeCode Available	0
Semantic Pyramid for Image Generation	Mar 13, 2020	General ClassificationImage Generation	CodeCode Available	1
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity	Mar 10, 2020	Cross-Lingual Word EmbeddingsRepresentation Learning	—Unverified	0
Unifying Specialist Image Embedding into Universal Image Embedding	Mar 8, 2020	Face VerificationImage Retrieval	—Unverified	0
Friend Recommendation based on Hashtags Analysis	Mar 7, 2020	ClusteringRecommendation Systems	—Unverified	0
Comment Ranking Diversification in Forum Discussions	Feb 27, 2020	Re-RankingSemantic Similarity	CodeCode Available	0
Generalized Product Quantization Network for Semi-supervised Image Retrieval	Feb 26, 2020	Image RetrievalMetric Learning	CodeCode Available	1
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems	Feb 26, 2020	General ClassificationRetrieval	CodeCode Available	0
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction	Feb 25, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacks	Feb 24, 2020	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	0
End-To-End Graph-based Deep Semi-Supervised Learning	Feb 23, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Learning by Semantic Similarity Makes Abstractive Summarization Better	Feb 18, 2020	Abstractive Text SummarizationSemantic Similarity	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 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