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 276–300 of 1564 papers

TitleStatusHype
A Novel Information Theoretic Framework for Finding Semantic Similarity in WordNet—0
AI-enhanced semantic feature norms for 786 concepts—0
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase—0
BIOSSES: A Semantic Sentence Similarity Estimation System for the Biomedical Domain—0
Binary Encoded Word Mover’s Distance—0
A Novel Comprehensive Approach for Estimating Concept Semantic Similarity in WordNet—0
Bilingual Topic Models for Comparable Corpora—0
A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining—0
A Framework for Web Services Retrieval Using Bio Inspired Clustering—0
Beyond Surface Similarity: Detecting Subtle Semantic Shifts in Financial Narratives—0
A Novel Approach for Automatic Bengali Question Answering System using Semantic Similarity Analysis—0
A Fine-Grained Analysis of BERTScore—0
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval—0
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation—0
An Open-source Framework for Multi-level Semantic Similarity Measurement—0
A Cognitive Study on Semantic Similarity Analysis of Large Corpora: A Transformer-based Approach—0
Cross-media Similarity Metric Learning with Unified Deep Networks—0
Beyond Detection: Designing AI-Resilient Assessments with Automated Feedback Tool to Foster Critical Thinking—0
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval—0
Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports—0
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection—0
Beyond [CLS] through Ranking by Generation—0
A Closer Look at Novel Class Discovery from the Labeled Set—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence—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