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 901–950 of 1564 papers

TitleStatusHype
Data Augmentation for Voice-Assistant NLU using BERT-based Interchangeable Rephrase—0
Fast, Effective, and Self-Supervised: Transforming Masked Language Models into Universal Lexical and Sentence EncodersCode1
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks—0
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition—0
SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point CloudsCode1
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language ModelsCode1
Adaptive Clustering of Robust Semantic Representations for Adversarial Image Purification—0
Automating Transfer Credit Assessment in Student Mobility -- A Natural Language Processing-based Approach—0
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures—0
Character Set Construction for Chinese Language Learning—0
Semantic Oppositeness Assisted Deep Contextual Modeling for Automatic Rumor Detection in Social Networks—0
A Multi-View Framework to Detect Redundant Activity Labels for More Representative Event Logs in Process Mining—0
Automated radiology report generation using conditioned transformersCode1
Learning from Pixel-Level Label Noise: A New Perspective for Semi-Supervised Semantic Segmentation—0
Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning—0
PatentSBERTa: A Deep NLP based Hybrid Model for Patent Distance and Classification using Augmented SBERTCode1
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information—0
Paint by Word—0
On Semantic Similarity in Video RetrievalCode1
SPICE: Semantic Pseudo-labeling for Image ClusteringCode1
Optimal Embedding Calibration for Symbolic Music Similarity—0
Internal Wasserstein Distance for Adversarial Attack and Defense—0
ReinforceBug: A Framework to Generate Adversarial Textual Examples—0
A Discriminative Vectorial Framework for Multi-modal Feature Representation—0
Real-time Relevant Recommendation SuggestionCode1
Automatic Difficulty Classification of Arabic Sentences—0
Scalable Learning With a Structural Recurrent Neural Network for Short-Term Traffic PredictionCode1
Distributional Formal SemanticsCode1
Semantic Data Set Construction from Human Clustering and Spatial Arrangement—0
Unbiased Sentence Encoder For Large-Scale Multi-lingual Search Engines—0
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses—0
Learning Large-scale Location Embedding From Human Mobility Trajectories with Graphs—0
Unsupervised Extractive Summarization using Pointwise Mutual InformationCode1
SAM-GAN: Self-Attention supporting Multi-stage Generative Adversarial Networks for text-to-image synthesis—0
Rank-Consistency Deep Hashing for Scalable Multi-Label Image Search—0
A multi-perspective combined recall and rank framework for Chinese procedure terminology normalization—0
Automating the Compilation of Potential Core-Outcomes for Clinical Trials—0
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph—0
Learning Representations by Contrasting Clusters While Bootstrapping Instances—0
Deep Representational Re-tuning using Contrastive TensionCode1
Learning Semantic Similarities for Prototypical Classifiers—0
Feedforward Legendre Memory Unit—0
Embedding Transfer via Smooth Contrastive Loss—0
Generating Natural Language Attacks in a Hard Label Black Box SettingCode1
Pivot Through English: Reliably Answering Multilingual Questions without Document Retrieval—0
Latent Feature Representation via Unsupervised Learning for Pattern Discovery in Massive Electron Microscopy Image Volumes—0
Extended Few-Shot Learning: Exploiting Existing Resources for Novel TasksCode1
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition—0
SemMT: A Semantic-based Testing Approach for Machine Translation SystemsCode1
A Computational Approach to Measuring the Semantic Divergence of Cognates—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