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 351–400 of 1564 papers

TitleStatusHype
A mathematical theory of semantic development in deep neural networksCode0
Identifying Cognate Sets Across Dictionaries of Related LanguagesCode0
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text SummarizationCode0
CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMsCode0
Controlling Length in Abstractive Summarization Using a Convolutional Neural NetworkCode0
Hybrid Semantic Recommender System for Chemical CompoundsCode0
Learning semantic sentence representations from visually grounded language without lexical knowledgeCode0
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivizationCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
Exploiting the Semantic Knowledge of Pre-trained Text-Encoders for Continual LearningCode0
Linguistically Conditioned Semantic Textual SimilarityCode0
Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-AnsweringCode0
A Bilingual Generative Transformer for Semantic Sentence EmbeddingCode0
Continual Audio-Visual Sound SeparationCode0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language AlignmentCode0
Historical Ink: Semantic Shift Detection for 19th Century SpanishCode0
Deconstruct to Reconstruct a Configurable Evaluation Metric for Open-Domain Dialogue SystemsCode0
Decoupling Semantic Similarity from Spatial Alignment for Neural NetworksCode0
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on TextCode0
Hyperpolyglot LLMs: Cross-Lingual Interpretability in Token EmbeddingsCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
Guiding and Diversifying LLM-Based Story Generation via Answer Set ProgrammingCode0
GSTran: Joint Geometric and Semantic Coherence for Point Cloud SegmentationCode0
Harnessing Frozen Unimodal Encoders for Flexible Multimodal AlignmentCode0
Deep Metric Learning Beyond Binary SupervisionCode0
GMFL-Net: A Global Multi-geometric Feature Learning Network for Repetitive Action CountingCode0
Analyzing how BERT performs entity matchingCode0
Textual analysis of artificial intelligence manuscripts reveals features associated with peer review outcomeCode0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
Hierarchy-based Image Embeddings for Semantic Image RetrievalCode0
Assessing Wordnets with WordNet EmbeddingsCode0
GenSense: A Generalized Sense Retrofitting ModelCode0
Generating More Interesting Responses in Neural Conversation Models with Distributional ConstraintsCode0
Generating Natural Language Adversarial Examples through Probability Weighted Word SaliencyCode0
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measuresCode0
Model Comparison for Semantic GroupingCode0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
Modelling Sentence Pairs with Tree-structured Attentive EncoderCode0
From Unimodal to Multimodal: Scaling up Projectors to Align ModalitiesCode0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and DomainsCode0
Concept-Level Explainability for Auditing & Steering LLM ResponsesCode0
Description and Evaluation of Semantic Similarity Measures ApproachesCode0
Anchor-Aware Similarity Cohesion in Target Frames Enables Predicting Temporal Moment Boundaries in 2DCode0
Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical StudyCode0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity MatchingCode0
NapSS: Paragraph-level Medical Text Simplification via Narrative Prompting and Sentence-matching SummarizationCode0
Global and Local Information Adjustment for Semantic Similarity EvaluationCode0
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual SimilarityCode0
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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