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 651–700 of 1564 papers

TitleStatusHype
Evolving the MCTS Upper Confidence Bounds for Trees Using a Semantic-inspired Evolutionary Algorithm in the Game of Carcassonne—0
Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning Approach—0
MENLI: Robust Evaluation Metrics from Natural Language InferenceCode1
Paraphrasing, textual entailment, and semantic similarity above word level—0
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AICode0
Towards Semantic Communications: Deep Learning-Based Image Semantic Coding—0
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base—0
A Cognitive Study on Semantic Similarity Analysis of Large Corpora: A Transformer-based Approach—0
Tackling Long-Tailed Category Distribution Under Domain ShiftsCode1
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic SearchCode0
Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression GroundingCode0
Semantic Novelty Detection via Relational ReasoningCode1
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity—0
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language ModelCode0
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article SimilarityCode0
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity—0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation—0
Unsupervised Knowledge Graph Generation Using Semantic Similarity MatchingCode0
On the Effectiveness of Sentence Encoding for Intent Detection Meta-LearningCode1
Syn2Vec: Synset Colexification Graphs for Lexical Semantic SimilarityCode0
NER4ID at SemEval-2022 Task 2: Named Entity Recognition for Idiomaticity DetectionCode0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating—0
Learning Job Titles Similarity from Noisy Skill Labels—0
Chinese Word Sense Embedding with SememeWSD and Synonym SetCode0
Exploiting Semantic Role Contextualized Video Features for Multi-Instance Text-Video Retrieval EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022Code0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Adversarial Self-Attention for Language UnderstandingCode0
Knowledge Graph Fusion for Language Model Fine-tuning—0
SynWMD: Syntax-aware Word Mover's Distance for Sentence Similarity EvaluationCode1
Zero-shot object goal visual navigationCode1
Knowledge Graph Construction and Its Application in Automatic Radiology Report Generation from Radiologist's Dictation—0
Highlights of Semantics in Multi-objective Genetic Programming—0
Building a Synthetic Biomedical Research Article Citation Linkage Corpus—0
Sentence Pair Embeddings Based Evaluation Metric for Abstractive and Extractive Summarization—0
Multilingual Financial Documentation Summarization by Team_Tredence for FNS2022—0
Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?—0
Embeddings models for Buddhist Sanskrit—0
Cross-Level Semantic Similarity for Serbian Newswire Texts—0
CLISTER : A Corpus for Semantic Textual Similarity in French Clinical Narratives—0
TURJUMAN: A Public Toolkit for Neural Arabic Machine TranslationCode1
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity—0
Learning to segment with limited annotations: Self-supervised pretraining with regression and contrastive loss in MRI—0
HIRL: A General Framework for Hierarchical Image Representation LearningCode1
Apport des ontologies pour le calcul de la similarité sémantique au sein d'un système de recommandation—0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating—0
The Case for Perspective in Multimodal Datasets—0
Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication—0
AEON: A Method for Automatic Evaluation of NLP Test CasesCode0
Improving Contextual Representation with Gloss Regularized Pre-training—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