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

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Showing 101–150 of 1564 papers

TitleStatusHype
Efficient Mask Correction for Click-Based Interactive Image SegmentationCode1
DIP: Dual Incongruity Perceiving Network for Sarcasm DetectionCode1
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised LearningCode1
Graph-based Semantical Extractive Text AnalysisCode1
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text CorporaCode1
Improving word mover's distance by leveraging self-attention matrixCode1
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the QuestionCode1
Pointly-Supervised Panoptic SegmentationCode1
Describing Sets of Images with Textual-PCACode1
Weak-shot Semantic Segmentation via Dual Similarity TransferCode1
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
SAPA: Similarity-Aware Point Affiliation for Feature UpsamplingCode1
Ranking-Enhanced Unsupervised Sentence Representation LearningCode1
MENLI: Robust Evaluation Metrics from Natural Language InferenceCode1
Tackling Long-Tailed Category Distribution Under Domain ShiftsCode1
Semantic Novelty Detection via Relational ReasoningCode1
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
On the Effectiveness of Sentence Encoding for Intent Detection Meta-LearningCode1
SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity EvaluationCode1
Zero-shot object goal visual navigationCode1
TURJUMAN: A Public Toolkit for Neural Arabic Machine TranslationCode1
HIRL: A General Framework for Hierarchical Image Representation LearningCode1
Few-Shot Image Classification Benchmarks are Too Far From Reality: Build Back Better with Semantic Task SamplingCode1
A large-scale computational study of content preservation measures for text style transfer and paraphrase generationCode1
SANA: Cross-Species Prediction of Gene Ontology GO Annotations via Topological Network AlignmentCode1
CgAT: Center-Guided Adversarial Training for Deep Hashing-Based RetrievalCode1
Towards Better Understanding of User Satisfaction in Open-Domain Conversational SearchCode1
Attributable Visual Similarity LearningCode1
RELIC: Retrieving Evidence for Literary ClaimsCode1
RoMe: A Robust Metric for Evaluating Natural Language GenerationCode1
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
Frequency-driven Imperceptible Adversarial Attack on Semantic SimilarityCode1
Just Rank: Rethinking Evaluation with Word and Sentence SimilaritiesCode1
RACE: Retrieval-Augmented Commit Message GenerationCode1
Learning Deep Semantic Model for Code Search using CodeSearchNet CorpusCode1
Reading-strategy Inspired Visual Representation Learning for Text-to-Video RetrievalCode1
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative SamplesCode1
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive LearningCode1
A Simple Long-Tailed Recognition Baseline via Vision-Language ModelCode1
Few-Shot Object Detection via Association and DIscriminationCode1
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic SimilarityCode1
Self-supervised similarity search for large scientific datasetsCode1
Efficient Neural Ranking using Forward IndexesCode1
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in VideosCode1
What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical StudyCode1
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic FactorsCode1
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
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All datasetsAnnotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICKBIOSSESCHIP-STSClinicalSTSMedSTS

Benchmark Results

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