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 576–600 of 1564 papers

TitleStatusHype
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation—0
Eval-GCSC: A New Metric for Evaluating ChatGPT's Performance in Chinese Spelling CorrectionCode0
Active Mining Sample Pair Semantics for Image-text Matching—0
Large-scale study of human memory for meaningful narratives—0
Unveiling Safety Vulnerabilities of Large Language Models—0
Relation Extraction Model Based on Semantic Enhancement Mechanism—0
Contextualizing the Limits of Model & Evaluation Dataset Curation on Semantic Similarity Classification Tasks—0
ProcSim: Proxy-based Confidence for Robust Similarity Learning—0
Few-shot Hybrid Domain Adaptation of Image GeneratorsCode0
Accelerating LLaMA Inference by Enabling Intermediate Layer Decoding via Instruction Tuning with LITE—0
Translating away Translationese without Parallel Data—0
Can GPT models Follow Human Summarization Guidelines? Evaluating ChatGPT and GPT-4 for Dialogue Summarization—0
The Distributional Hypothesis Does Not Fully Explain the Benefits of Masked Language Model PretrainingCode0
Topology-aware Debiased Self-supervised Graph Learning for RecommendationCode0
Chain-of-Factors Paper-Reviewer MatchingCode0
PaRaDe: Passage Ranking using Demonstrations with Large Language Models—0
Prompt-based Grouping Transformer for Nucleus Detection and ClassificationCode0
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling—0
Noise Contrastive Estimation-based Matching Framework for Low-resource Security Attack Pattern Recognition—0
Zero-Shot Object Goal Visual Navigation With Class-Independent Relationship NetworkCode0
Dual-Stream Knowledge-Preserving Hashing for Unsupervised Video Retrieval—0
Transformers for Green Semantic Communication: Less Energy, More SemanticsCode0
Bridging the Gap between Structural and Semantic Similarity in Diverse PlanningCode0
Semantic similarity prediction is better than other semantic similarity measuresCode0
Privacy Assessment on Reconstructed Images: Are Existing Evaluation Metrics Faithful to Human Perception?—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 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