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 1351–1400 of 1564 papers

TitleStatusHype
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor SearchCode0
Syntactically Robust Training on Partially-Observed Data for Open Information ExtractionCode0
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual StorytellingCode0
Deep Metric Learning Beyond Binary SupervisionCode0
Annotating and analyzing the interactions between meaning relationsCode0
Portuguese Word Embeddings: Evaluating on Word Analogies and Natural Language TasksCode0
Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEsCode0
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication StudyCode0
Semantic similarity prediction is better than other semantic similarity measuresCode0
Transfer learning for semantic similarity measures based on symbolic regressionCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
A Generalized Method for Automated Multilingual Loanword DetectionCode0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-EncoderCode0
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language ModelCode0
An Isotropy Analysis in the Multilingual BERT Embedding SpaceCode0
Semantics or spelling? Probing contextual word embeddings with orthographic noiseCode0
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual ConstraintsCode0
TransFool: An Adversarial Attack against Neural Machine Translation ModelsCode0
Unsupervised Hashing with Semantic Concept MiningCode0
Semantic Structure-based Unsupervised Deep HashingCode0
SemSup: Semantic Supervision for Simple and Scalable Zero-shot GeneralizationCode0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
Anchor-Aware Similarity Cohesion in Target Frames Enables Predicting Temporal Moment Boundaries in 2DCode0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
Large-Scale Multi-Domain Belief Tracking with Knowledge SharingCode0
Prompt-based Grouping Transformer for Nucleus Detection and ClassificationCode0
Semantic Textual Similarity Assessment in Chest X-ray Reports Using a Domain-Specific Cosine-Based MetricCode0
Decoupling Semantic Similarity from Spatial Alignment for Neural NetworksCode0
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word EmbeddingsCode0
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog UtterancesCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
Learning Composition Models for Phrase EmbeddingsCode0
PromptMap: An Alternative Interaction Style for AI-Based Image GenerationCode0
Learning Deep Multi-Level Similarity for Thermal Infrared Object TrackingCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Sematch: Semantic Entity Search from Knowledge GraphCode0
Unsupervised Knowledge Graph Generation Using Semantic Similarity MatchingCode0
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
Analyzing how BERT performs entity matchingCode0
Chain-of-Factors Paper-Reviewer MatchingCode0
Prototypical Contrast and Reverse Prediction: Unsupervised Skeleton Based Action RecognitionCode0
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue SystemsCode0
Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic SimilarityCode0
Better Summarization Evaluation with Word Embeddings for ROUGECode0
Temporally-Grounded Language Generation: A Benchmark for Real-Time Vision-Language ModelsCode0
Temporal and Semantic Evaluation Metrics for Foundation Models in Post-Hoc Analysis of Robotic Sub-tasksCode0
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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 uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT cased (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