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 1076–1100 of 1564 papers

Title	Date	Tasks	Status
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric	Apr 10, 2020	Machine TranslationSemantic Similarity	—Unverified
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
A random forest based computational model for predicting novel lncRNA-disease associations	Mar 27, 2020	feature selectionPrediction	CodeCode Available
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity	Mar 10, 2020	Cross-Lingual Word EmbeddingsRepresentation Learning	—Unverified
Unifying Specialist Image Embedding into Universal Image Embedding	Mar 8, 2020	Face VerificationImage Retrieval	—Unverified
Friend Recommendation based on Hashtags Analysis	Mar 7, 2020	ClusteringRecommendation Systems	—Unverified
Comment Ranking Diversification in Forum Discussions	Feb 27, 2020	Re-RankingSemantic Similarity	CodeCode Available
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification Problems	Feb 26, 2020	General ClassificationRetrieval	CodeCode Available
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction	Feb 25, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacks	Feb 24, 2020	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
End-To-End Graph-based Deep Semi-Supervised Learning	Feb 23, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding	Jan 29, 2020	Document EmbeddingSemantic Similarity	—Unverified
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute	Jan 21, 2020	ClassificationGeneral Classification	—Unverified
Hybrid Semantic Recommender System for Chemical Compounds	Jan 21, 2020	Collaborative FilteringRecommendation Systems	CodeCode Available
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension	Jan 16, 2020	Machine Reading ComprehensionMultiple-choice	—Unverified
User-in-the-loop Adaptive Intent Detection for Instructable Digital Assistant	Jan 16, 2020	Intent DetectionNatural Language Understanding	CodeCode Available
Open Domain Question Answering Using Web Tables	Jan 10, 2020	Open-Domain Question AnsweringQuestion Answering	—Unverified
Ranking and Classification driven Feature Learning for Person Re_identification	Dec 25, 2019	ClassificationGeneral Classification	CodeCode Available
MALA: Cross-Domain Dialogue Generation with Action Learning	Dec 18, 2019	Dialogue GenerationResponse Generation	—Unverified
Semantic Similarity To Improve Question Understanding in a Virtual Patient	Dec 16, 2019	Medical DiagnosisSemantic Similarity	—Unverified
Legal document retrieval across languages: topic hierarchies based on synsets	Nov 28, 2019	RetrievalSemantic Similarity	—Unverified
Instance Cross Entropy for Deep Metric Learning	Nov 22, 2019	Metric LearningSemantic Similarity	—Unverified
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word Embeddings	Nov 20, 2019	Community Question AnsweringQuestion Answering	CodeCode Available
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension	Nov 20, 2019	DecoderDistractor Generation	—Unverified
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network	Nov 19, 2019	Moment RetrievalRetrieval	—Unverified

Show:10 25 50

← PrevPage 44 of 63Next →

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