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

Showing 551575 of 1564 papers

TitleStatusHype
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models0
Investigating Large Language Models for Financial Causality Detection in Multilingual Setup0
Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition0
Using LLMs to discover emerging coded antisemitic hate-speech in extremist social media0
PhotoBot: Reference-Guided Interactive Photography via Natural Language0
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation0
Image Similarity using An Ensemble of Context-Sensitive ModelsCode0
A character-based steganography using masked language modelingCode0
Estimating Text Similarity based on Semantic Concept Embeddings0
Recognizing Similar Crises through the Application of Ontology-based Knowledge Mining0
Semantic Similarity Matching for Patent Documents Using Ensemble BERT-related Model and Novel Text Processing Method0
Saliency-Aware Regularized Graph Neural Network0
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performanceCode0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining0
MMGPL: Multimodal Medical Data Analysis with Graph Prompt Learning0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution0
Def2Vec: Extensible Word Embeddings from Dictionary DefinitionsCode0
Self-Critical Alternate Learning based Semantic Broadcast Communication0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement LearningCode0
Large Language Models as Topological Structure Enhancers for Text-Attributed Graphs0
Do Smaller Language Models Answer Contextualised Questions Through Memorisation Or Generalisation?0
IEKM: A Model Incorporating External Keyword Matrices0
Portuguese FAQ for Financial Services0
Beyond Images: An Integrative Multi-modal Approach to Chest X-Ray Report Generation0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F193.38Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F191.51Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F190.69Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.16Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.12Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.75Unverified
2SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3Unverified
3SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F186.8Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F184.21Unverified
#ModelMetricClaimedVerifiedStatus
1Doc2VecCMSE0.31Unverified
2LSTM (Tai et al., 2015)MSE0.28Unverified
3Bidirectional LSTM (Tai et al., 2015)MSE0.27Unverified
4combine-skip (Kiros et al., 2015)MSE0.27Unverified
5Dependency Tree-LSTM (Tai et al., 2015)MSE0.25Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)Pearson Correlation0.94Unverified
2BioLinkBERT (base)Pearson Correlation0.93Unverified
3NCBI_BERT(base) (P+M)Pearson Correlation0.92Unverified
#ModelMetricClaimedVerifiedStatus
1MacBERT-largeMacro F185.6Unverified
#ModelMetricClaimedVerifiedStatus
1CharacterBERT (base, medical, ensemble)Pearson Correlation85.62Unverified
#ModelMetricClaimedVerifiedStatus
1NCBI_BERT(base) (P+M)Pearson Correlation0.85Unverified