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 1251–1300 of 1564 papers

TitleStatusHype
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation—0
Push for Quantization: Deep Fisher Hashing—0
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback—0
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation—0
Quantifying perturbation impacts for large language models—0
Qwant Research @DEFT 2019: Document matching and information retrieval using clinical cases—0
Raising the Bar on the Evaluation of Out-of-Distribution Detection—0
RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation—0
Random Walks and Neural Network Language Models on Knowledge Bases—0
Identifying Cognate Sets Across Dictionaries of Related LanguagesCode0
News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News RecommendationCode0
Identifying Semantic Divergences in Parallel Text without AnnotationsCode0
Bridging LLM-Generated Code and Requirements: Reverse Generation technique and SBC Metric for Developer InsightsCode0
Self-Supervised Speech Representations are More Phonetic than SemanticCode0
NLP Verification: Towards a General Methodology for Certifying RobustnessCode0
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
Emu: Enhancing Multilingual Sentence Embeddings with Semantic SpecializationCode0
An Unsupervised Word Sense Disambiguation System for Under-Resourced LanguagesCode0
Image Similarity using An Ensemble of Context-Sensitive ModelsCode0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
Improved Semantic Representations From Tree-Structured Long Short-Term Memory NetworksCode0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
Embeddings Evaluation Using a Novel Measure of Semantic SimilarityCode0
Topology-aware Debiased Self-supervised Graph Learning for RecommendationCode0
Novel Categories Discovery Via Constraints on Empirical Prediction StatisticsCode0
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language frameworkCode0
To Tune or Not To Tune? How About the Best of Both Worlds?Code0
Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional OperationsCode0
20min-XD: A Comparable Corpus of Swiss News ArticlesCode0
Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification using Semantic MetricsCode0
REINFOREST: Reinforcing Semantic Code Similarity for Cross-Lingual Code Search ModelsCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
Using Semantic Similarity for Input Topic Identification in Crawling-based Web Application TestingCode0
EMBEDDIA at SemEval-2022 Task 8: Investigating Sentence, Image, and Knowledge Graph Representations for Multilingual News Article SimilarityCode0
One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual LearningCode0
Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal ReasoningCode0
On Learning Text Style Transfer with Direct RewardsCode0
Using Sentence Embeddings and Semantic Similarity for Seeking Consensus when Assessing Trustworthy AICode0
Table2Vec: Neural Word and Entity Embeddings for Table Population and RetrievalCode0
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text SummarizationCode0
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
EL Embeddings: Geometric construction of models for the Description Logic EL ++Code0
Efficient Heuristics Generation for Solving Combinatorial Optimization Problems Using Large Language ModelsCode0
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationCode0
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivizationCode0
Doing Good or Doing Right? Exploring the Weakness of Commonsense Causal Reasoning ModelsCode0
Semantic flow in language networksCode0
Ontology-based Semantic Similarity Measures for Clustering Medical Concepts in Drug SafetyCode0
Hybrid Semantic Recommender System for Chemical CompoundsCode0
Show:102550
← PrevPage 26 of 32Next →
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