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 201–250 of 1564 papers

TitleStatusHype
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document SummarizationCode1
Neural CRF Model for Sentence Alignment in Text SimplificationCode1
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level ExtractionCode1
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation EvaluationCode1
Word Rotator's DistanceCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
Fast and Accurate Deep Bidirectional Language Representations for Unsupervised LearningCode1
Attentive Normalization for Conditional Image GenerationCode1
Text-Guided Neural Image InpaintingCode1
Semantic Pyramid for Image GenerationCode1
Generalized Product Quantization Network for Semi-supervised Image RetrievalCode1
Learning by Semantic Similarity Makes Abstractive Summarization BetterCode1
Symmetrical Synthesis for Deep Metric LearningCode1
Sentence-BERT: Sentence Embeddings using Siamese BERT-NetworksCode1
Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking DatasetsCode1
Deep Metric Learning by Online Soft Mining and Class-Aware AttentionCode1
MedSTS: A Resource for Clinical Semantic Textual SimilarityCode1
Improving Language Understanding by Generative Pre-TrainingCode1
R-VQA: Learning Visual Relation Facts with Semantic Attention for Visual Question AnsweringCode1
No Fuss Distance Metric Learning using ProxiesCode1
Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label EmbeddingCode1
Semantic Similarity Based on Corpus Statistics and Lexical TaxonomyCode1
SemCSE: Semantic Contrastive Sentence Embeddings Using LLM-Generated Summaries For Scientific Abstracts—0
SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression—0
FA: Forced Prompt Learning of Vision-Language Models for Out-of-Distribution DetectionCode0
LineRetriever: Planning-Aware Observation Reduction for Web Agents—0
DALR: Dual-level Alignment Learning for Multimodal Sentence Representation Learning—0
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval—0
Intrinsic vs. Extrinsic Evaluation of Czech Sentence Embeddings: Semantic Relevance Doesn't Help with MT Evaluation—0
Leveraging Vision-Language Models to Select Trustworthy Super-Resolution Samples Generated by Diffusion Models—0
PrivacyXray: Detecting Privacy Breaches in LLMs through Semantic Consistency and Probability Certainty—0
Semantic similarity estimation for domain specific data using BERT and other techniques—0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion—0
Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search—0
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking—0
FindMeIfYouCan: Bringing Open Set metrics to near , far and farther Out-of-Distribution Object Detection—0
Statistical Hypothesis Testing for Auditing Robustness in Language Models—0
Trend-Aware Fashion Recommendation with Visual Segmentation and Semantic SimilarityCode0
Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation—0
Conservative Bias in Large Language Models: Measuring Relation Predictions—0
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor—0
KNN-Defense: Defense against 3D Adversarial Point Clouds using Nearest-Neighbor SearchCode0
Plugging Schema Graph into Multi-Table QA: A Human-Guided Framework for Reducing LLM Reliance—0
MCP-Zero: Active Tool Discovery for Autonomous LLM Agents—0
PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-EncoderCode0
Category-aware EEG image generation based on wavelet transform and contrast semantic lossCode0
VUDG: A Dataset for Video Understanding Domain Generalization—0
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training—0
Document Valuation in LLM Summaries: A Cluster Shapley Approach—0
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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