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 601–650 of 1564 papers

TitleStatusHype
Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT—0
Comparing scalable strategies for generating numerical perspectives—0
Friend Recommendation based on Hashtags Analysis—0
Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images—0
Generative Models for Simulating Mobility Trajectories—0
Generative Semantic Communication for Joint Image Transmission and Segmentation—0
Frequency-based Distortions in Contextualized Word Embeddings—0
Gextext: Disease Network Extraction from Biomedical Literature—0
Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?—0
A Spatial Model for Extracting and Visualizing Latent Discourse Structure in Text—0
GiBERT: Introducing Linguistic Knowledge into BERT through a Lightweight Gated Injection Method—0
GKR: the Graphical Knowledge Representation for semantic parsing—0
Conjuring Semantic Similarity—0
Fountain -- an intelligent contextual assistant combining knowledge representation and language models for manufacturing risk identification—0
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue—0
Connecting the Dots: Inferring Patent Phrase Similarity with Retrieved Phrase Graphs—0
Connecting the Dots: Leveraging Spatio-Temporal Graph Neural Networks for Accurate Bangla Sign Language Recognition—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
Column sampling based discrete supervised hashing—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
A Semantic Indexing Structure for Image Retrieval—0
Aligning Sentences from Standard Wikipedia to Simple Wikipedia—0
Assistive Completion of Agrammatic Aphasic Sentences: A Transfer Learning Approach using Neurolinguistics-based Synthetic Dataset—0
Hamming Distance Metric Learning—0
Improving Context-Aware Semantic Relationships in Sparse Mobile Datasets—0
Cognitively Motivated Distributional Representations of Meaning—0
A Semantic Cover Approach for Topic Modeling—0
Harnessing label semantics to extract higher performance under noisy label for Company to Industry matching—0
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation—0
Hashtags are (not) judgemental: The untold story of Lok Sabha elections 2019—0
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation—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
Contextual ASR Error Handling with LLMs Augmentation for Goal-Oriented Conversational AI—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
Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning—0
Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement—0
FindMeIfYouCan: Bringing Open Set metrics to near , far and farther Out-of-Distribution Object Detection—0
Finding the Topic of a Set of Images—0
Contrastive Learning of Sentence Representations—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
Finding Salient Context based on Semantic Matching for Relevance Ranking—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