SOTAVerified

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

Showing 13011325 of 1564 papers

TitleStatusHype
OPA2Vec: combining formal and informal content of biomedical ontologies to improve similarity-based predictionCode0
When is a bishop not like a rook? When it's like a rabbi! Multi-prototype BERT embeddings for estimating semantic relationshipsCode0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
Where are the Keys? -- Learning Object-Centric Navigation Policies on Semantic Maps with Graph Convolutional NetworksCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image GenerationCode0
Breaking the Clusters: Uniformity-Optimization for Text-Based Sequential RecommendationCode0
OrderBkd: Textual backdoor attack through repositioningCode0
A Joint Sequence Fusion Model for Video Question Answering and RetrievalCode0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
Instance Smoothed Contrastive Learning for Unsupervised Sentence EmbeddingCode0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence ScenariosCode0
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-TranslationCode0
Semantic Relatedness Based Re-ranker for Text SpottingCode0
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change AnalysisCode0
A Bilingual Generative Transformer for Semantic Sentence EmbeddingCode0
Phrase Localization Without Paired Training ExamplesCode0
Historical Ink: Semantic Shift Detection for 19th Century SpanishCode0
Ad Hoc Table Retrieval using Semantic SimilarityCode0
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse NetworksCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F193.38Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F191.51Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F190.69Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.16Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.12Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.75Unverified
2SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3Unverified
3SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F186.8Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F184.21Unverified
#ModelMetricClaimedVerifiedStatus
1Doc2VecCMSE0.31Unverified
2LSTM (Tai et al., 2015)MSE0.28Unverified
3Bidirectional LSTM (Tai et al., 2015)MSE0.27Unverified
4combine-skip (Kiros et al., 2015)MSE0.27Unverified
5Dependency Tree-LSTM (Tai et al., 2015)MSE0.25Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)Pearson Correlation0.94Unverified
2BioLinkBERT (base)Pearson Correlation0.93Unverified
3NCBI_BERT(base) (P+M)Pearson Correlation0.92Unverified
#ModelMetricClaimedVerifiedStatus
1MacBERT-largeMacro F185.6Unverified
#ModelMetricClaimedVerifiedStatus
1CharacterBERT (base, medical, ensemble)Pearson Correlation85.62Unverified
#ModelMetricClaimedVerifiedStatus
1NCBI_BERT(base) (P+M)Pearson Correlation0.85Unverified