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 1001–1025 of 1564 papers

Title	Date	Tasks	Status
Using Text to Teach Image Retrieval	Nov 19, 2020	Image RetrievalRetrieval	—Unverified
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action Recognition	Nov 14, 2020	Action RecognitionClustering	CodeCode Available
A partition-based similarity for classification distributions	Nov 12, 2020	ClassificationGeneral Classification	—Unverified
Center-wise Local Image Mixture For Contrastive Representation Learning	Nov 5, 2020	Contrastive LearningData Augmentation	—Unverified
Machine Translation Reference-less Evaluation using YiSi-2 with Bilingual Mappings of Massive Multilingual Language Model	Nov 1, 2020	Language ModelingLanguage Modelling	—Unverified
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer	Nov 1, 2020	Machine TranslationSemantic Similarity	—Unverified
Comparative Evaluation of Label-Agnostic Selection Bias in Multilingual Hate Speech Datasets	Nov 1, 2020	Hate Speech DetectionSelection bias	CodeCode Available
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues	Nov 1, 2020	InformativenessResponse Generation	—Unverified
How does BERT capture semantics? A closer look at polysemous words	Nov 1, 2020	Semanticity predictionSemantic Similarity	CodeCode Available
When is a bishop not like a rook? When it's like a rabbi! Multi-prototype BERT embeddings for estimating semantic relationships	Nov 1, 2020	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Surfacing Privacy Settings Using Semantic Matching	Nov 1, 2020	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue Systems	Nov 1, 2020	Dialogue EvaluationSemantic Similarity	CodeCode Available
Second-Order NLP Adversarial Examples	Nov 1, 2020	Adversarial AttackSemantic Similarity	—Unverified
Method of the coherence evaluation of Ukrainian text	Oct 31, 2020	ArticlesCoherence Evaluation	—Unverified
Knowledge-Based Construction of Confusion Matrices for Multi-Label Classification Algorithms using Semantic Similarity Measures	Oct 30, 2020	ClassificationGeneral Classification	—Unverified
On Learning Text Style Transfer with Direct Rewards	Oct 24, 2020	Machine TranslationSemantic Similarity	CodeCode Available
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method	Oct 23, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified
Comparative analysis of word embeddings in assessing semantic similarity of complex sentences	Oct 23, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified
Neural Passage Retrieval with Improved Negative Contrast	Oct 23, 2020	Open-Domain Question AnsweringPassage Retrieval	—Unverified
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers	Oct 22, 2020	Adversarial AttackSemantic Similarity	—Unverified
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures	Oct 21, 2020	Semantic SimilaritySemantic Textual Similarity	—Unverified
CIMON: Towards High-quality Hash Codes	Oct 15, 2020	Computational EfficiencyImage Augmentation	—Unverified
Meta-Context Transformers for Domain-Specific Response Generation	Oct 12, 2020	Dialogue GenerationLanguage Modeling	CodeCode Available
Webly Supervised Image Classification with Metadata: Automatic Noisy Label Correction via Visual-Semantic Graph	Oct 12, 2020	General ClassificationGraph Neural Network	CodeCode Available
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching	Oct 12, 2020	Metric LearningSemantic Similarity	—Unverified

Show:10 25 50

← PrevPage 41 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