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 751–775 of 1564 papers

TitleStatusHype
Raising the Bar on the Evaluation of Out-of-Distribution Detection—0
Unsupervised Hashing with Semantic Concept MiningCode0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
A Closer Look at Novel Class Discovery from the Labeled Set—0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity MatchingCode0
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation—0
Towards explainable evaluation of language models on the semantic similarity of visual concepts—0
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene GraphCode0
Monolingual alignment of word senses and definitions in lexicographical resources—0
Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples—0
Selective Text Augmentation with Word Roles for Low-Resource Text ClassificationCode0
Zero-shot Event Causality Identification with Question Answering—0
Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System—0
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
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
PiC: A Phrase-in-Context Dataset for Phrase Understanding and Semantic SearchCode0
Entity-enhanced Adaptive Reconstruction Network for Weakly Supervised Referring Expression GroundingCode0
Early Discovery of Emerging Entities in Persian Twitter with Semantic Similarity—0
Learning Job Titles Similarity from Noisy Skill Labels—0
ValCAT: Variable-Length Contextualized Adversarial Transformations Using Encoder-Decoder Language ModelCode0
Show:102550
← PrevPage 31 of 63Next →
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