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 1451–1500 of 1564 papers

TitleStatusHype
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method—0
GKR: the Graphical Knowledge Representation for semantic parsing—0
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue—0
Gold Standard Online Debates Summaries and First Experiments Towards Automatic Summarization of Online Debate Data—0
GPTSee: Enhancing Moment Retrieval and Highlight Detection via Description-Based Similarity Features—0
GrFormer: A Novel Transformer on Grassmann Manifold for Infrared and Visible Image Fusion—0
GSI-UPM at SemEval-2019 Task 5: Semantic Similarity and Word Embeddings for Multilingual Detection of Hate Speech Against Immigrants and Women on Twitter—0
Hamming Distance Metric Learning—0
Hamming Sentence Embeddings for Information Retrieval—0
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching—0
HashAttention: Semantic Sparsity for Faster Inference—0
Hashtags are (not) judgemental: The untold story of Lok Sabha elections 2019—0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
HCTI at SemEval-2017 Task 1: Use convolutional neural network to evaluate Semantic Textual Similarity—0
HD-RAG: Retrieval-Augmented Generation for Hybrid Documents Containing Text and Hierarchical Tables—0
Hierarchical Scoring with 3D Gaussian Splatting for Instance Image-Goal Navigation—0
Hierarchy Neighborhood Discriminative Hashing for An Unified View of Single-Label and Multi-Label Image retrieval—0
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking—0
Highlights of Semantics in Multi-objective Genetic Programming—0
Homa at SemEval-2025 Task 5: Aligning Librarian Records with OntoAligner for Subject Tagging—0
HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation—0
Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools—0
How does a Multilingual LM Handle Multiple Languages?—0
How do Humans and Language Models Reason About Creativity? A Comparative Analysis—0
How to choose "Good" Samples for Text Data Augmentation—0
How to Evaluate Semantic Communications for Images with ViTScore Metric?—0
How to Learn in a Noisy World? Self-Correcting the Real-World Data Noise on Machine Translation—0
How Vital is the Jurisprudential Relevance: Law Article Intervened Legal Case Retrieval and Matching—0
HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures—0
HSI: A Holistic Style Injector for Arbitrary Style Transfer—0
HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts—0
Human Variability vs. Machine Consistency: A Linguistic Analysis of Texts Generated by Humans and Large Language Models—0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels—0
HyperFree: A Channel-adaptive and Tuning-free Foundation Model for Hyperspectral Remote Sensing Imagery—0
Hypernym Mercury: Token Optimization Through Semantic Field Constriction And Reconstruction From Hypernyms. A New Text Compression Method—0
Hypernyms Through Intra-Article Organization in Wikipedia—0
Identifying Essential Hub Genes and Protein Complexes in Malaria GO Data using Semantic Similarity Measures—0
Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor—0
IEKM: A Model Incorporating External Keyword Matrices—0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity—0
IIT (BHU): System Description for LSDSem'17 Shared Task—0
Image Colorization Using a Deep Convolutional Neural Network—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—0
Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging—0
Improving Context-Aware Semantic Relationships in Sparse Mobile Datasets—0
Improving Contextual Representation with Gloss Regularized Pre-training—0
Improving Contextual Representation with Gloss Regularized Pre-training—0
Improving Correlation with Human Judgments by Integrating Semantic Similarity with Second--Order Vectors—0
Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures—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 uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT cased (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