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 926–950 of 1564 papers

Title	Date	Tasks	Status	Hype
Automatic Difficulty Classification of Arabic Sentences	Mar 7, 2021	Binary ClassificationClassification	—Unverified	0
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic Prediction	Mar 3, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
Distributional Formal Semantics	Mar 2, 2021	NegationSemantic Similarity	CodeCode Available	1
Semantic Data Set Construction from Human Clustering and Spatial Arrangement	Mar 1, 2021	ClusteringRepresentation Learning	—Unverified	0
Unbiased Sentence Encoder For Large-Scale Multi-lingual Search Engines	Mar 1, 2021	Document RankingLanguage Modelling	—Unverified	0
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses	Feb 27, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Learning Large-scale Location Embedding From Human Mobility Trajectories with Graphs	Feb 23, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Unsupervised Extractive Summarization using Pointwise Mutual Information	Feb 11, 2021	ArticlesExtractive Summarization	CodeCode Available	1
SAM-GAN: Self-Attention supporting Multi-stage Generative Adversarial Networks for text-to-image synthesis	Feb 10, 2021	Image GenerationSemantic Similarity	—Unverified	0
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search	Feb 2, 2021	ClusteringDeep Hashing	—Unverified	0
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization	Jan 22, 2021	Learning-To-RankMulti-class Classification	—Unverified	0
Automating the Compilation of Potential Core-Outcomes for Clinical Trials	Jan 11, 2021	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph	Jan 8, 2021	ClusteringInformation Retrieval	—Unverified	0
Learning Representations by Contrasting Clusters While Bootstrapping Instances	Jan 1, 2021	ClusteringContrastive Learning	—Unverified	0
Deep Representational Re-tuning using Contrastive Tension	Jan 1, 2021	Semantic SimilaritySemantic Textual Similarity	CodeCode Available	1
Learning Semantic Similarities for Prototypical Classifiers	Jan 1, 2021	Few-Shot LearningMetric Learning	—Unverified	0
Feedforward Legendre Memory Unit	Jan 1, 2021	image-classificationImage Classification	—Unverified	0
Embedding Transfer via Smooth Contrastive Loss	Jan 1, 2021	Metric LearningSemantic Similarity	—Unverified	0
Generating Natural Language Attacks in a Hard Label Black Box Setting	Dec 29, 2020	Adversarial TextSemantic Similarity	CodeCode Available	1
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval	Dec 28, 2020	Answer GenerationQuestion Answering	—Unverified	0
Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes	Dec 22, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified	0
Extended Few-Shot Learning: Exploiting Existing Resources for Novel Tasks	Dec 13, 2020	Few-Shot Image ClassificationFew-Shot Learning	CodeCode Available	1
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition	Dec 8, 2020	DiversityEvolutionary Algorithms	—Unverified	0
SemMT: A Semantic-based Testing Approach for Machine Translation Systems	Dec 3, 2020	Machine TranslationSemantic Similarity	CodeCode Available	1
A Computational Approach to Measuring the Semantic Divergence of Cognates	Dec 2, 2020	Cross-Lingual Word EmbeddingsSemantic Similarity	—Unverified	0

Show:10 25 50

← PrevPage 38 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