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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 251–300 of 1564 papers

TitleStatusHype
Boosting Imperceptibility of Stable Diffusion-based Adversarial Examples Generation with MomentumCode0
A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological DistanceCode0
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text SpatializationCode0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
Label Ranker: Self-Aware Preference for Classification Label Position in Visual Masked Self-Supervised Pre-Trained ModelCode0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
A Collection of Pragmatic-Similarity Judgments over Spoken Dialog UtterancesCode0
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence ScenariosCode0
Learning Composition Models for Phrase EmbeddingsCode0
Model Comparison for Semantic GroupingCode0
Joint Word Representation Learning using a Corpus and a Semantic LexiconCode0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
Investigating the Effects of Word Substitution Errors on Sentence EmbeddingsCode0
Integrating Visual and Semantic Similarity Using Hierarchies for Image RetrievalCode0
Beyond Semantics: Learning a Behavior Augmented Relevance Model with Self-supervised LearningCode0
Interpretable Word Sense Representations via Definition Generation: The Case of Semantic Change AnalysisCode0
Instance Smoothed Contrastive Learning for Unsupervised Sentence EmbeddingCode0
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor SearchCode0
Annotating and analyzing the interactions between meaning relationsCode0
Specializing Unsupervised Pretraining Models for Word-Level Semantic SimilarityCode0
AEON: A Method for Automatic Evaluation of NLP Test CasesCode0
An Isotropy Analysis in the Multilingual BERT Embedding SpaceCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
Beyond BLEU: Training Neural Machine Translation with Semantic SimilarityCode0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
Better Summarization Evaluation with Word Embeddings for ROUGECode0
Improved Semantic Representations From Tree-Structured Long Short-Term Memory NetworksCode0
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text SummarizationCode0
Knowledgeable Storyteller: A Commonsense-Driven Generative Model for Visual StorytellingCode0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
Identifying Cognate Sets Across Dictionaries of Related LanguagesCode0
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivizationCode0
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase EmbeddingsCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
Identifying Semantic Divergences in Parallel Text without AnnotationsCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Phrase Localization Without Paired Training ExamplesCode0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
Hybrid Semantic Recommender System for Chemical CompoundsCode0
Image Similarity using An Ensemble of Context-Sensitive ModelsCode0
Anchor-Aware Similarity Cohesion in Target Frames Enables Predicting Temporal Moment Boundaries in 2DCode0
Adversarial Self-Attention for Language UnderstandingCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
Harnessing Frozen Unimodal Encoders for Flexible Multimodal AlignmentCode0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
A character-based steganography using masked language modelingCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
Show:102550
← PrevPage 6 of 32Next →
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