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 551–600 of 1564 papers

TitleStatusHype
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail—0
Using Semantic Similarity and Text Embedding to Measure the Social Media Echo of Strategic Communications—0
LEURN: Learning Explainable Univariate Rules with Neural Networks—0
A Novel Patent Similarity Measurement Methodology: Semantic Distance and Technological DistanceCode0
Micro-video Tagging via Jointly Modeling Social Influence and Tag RelationCode0
INO at Factify 2: Structure Coherence based Multi-Modal Fact VerificationCode0
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models—0
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching SummarizationCode0
A Parametric Similarity Method: Comparative Experiments based on Semantically Annotated Large Datasets—0
Analyzing the impact of climate change on critical infrastructure from the scientific literature: A weakly supervised NLP approach—0
TransFool: An Adversarial Attack against Neural Machine Translation ModelsCode0
How to choose "Good" Samples for Text Data Augmentation—0
KNNs of Semantic Encodings for Rating Prediction—0
uHelp: intelligent volunteer search for mutual help communities—0
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection—0
Syntactically Robust Training on Partially-Observed Data for Open Information ExtractionCode0
Prompting Large Language Model for Machine Translation: A Case Study—0
USER: Unified Semantic Enhancement with Momentum Contrast for Image-Text RetrievalCode0
Self-Supervised Image-to-Point Distillation via Semantically Tolerant Contrastive Loss—0
Language-Informed Transfer Learning for Embodied Household Activities—0
Universal Multimodal Representation for Language Understanding—0
The Undesirable Dependence on Frequency of Gender Bias Metrics Based on Word EmbeddingsCode0
Attention Discriminant Sampling for Point Clouds—0
Scene-Aware Label Graph Learning for Multi-Label Image Classification—0
Efficient Mask Correction for Click-Based Interactive Image SegmentationCode1
Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation—0
DIP: Dual Incongruity Perceiving Network for Sarcasm DetectionCode1
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce—0
Predicting the Score of Atomic Candidate OWL Class Axioms—0
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval—0
Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised LearningCode1
Graph-based Semantical Extractive Text AnalysisCode1
MANTIS at TSAR-2022 Shared Task: Improved Unsupervised Lexical Simplification with Pretrained Encoders—0
MAViC: Multimodal Active Learning for Video Captioning—0
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning—0
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching—0
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages—0
Measuring the Measuring Tools: An Automatic Evaluation of Semantic Metrics for Text CorporaCode1
Soft Alignment Objectives for Robust Adaptation of Language GenerationCode0
Addressing Mistake Severity in Neural Networks with Semantic Knowledge—0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge—0
Semantic Similarity-Based Clustering of Findings From Security Testing Tools—0
Type Information Utilized Event Detection via Multi-Channel GNNs in Electrical Power Systems—0
Investigating the Frequency Distortion of Word Embeddings and Its Impact on Bias MetricsCode0
Category-Adaptive Label Discovery and Noise Rejection for Multi-label Image Recognition with Partial Positive Labels—0
Semantic Similarity Models for Depression Severity Estimation—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
Improving word mover's distance by leveraging self-attention matrixCode1
Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset—0
Combining Contrastive Learning and Knowledge Graph Embeddings to develop medical word embeddings for the Italian language—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