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 651–700 of 1564 papers

TitleStatusHype
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
A Semantic Indexing Structure for Image Retrieval—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
Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling—0
Interactive Variance Attention based Online Spoiler Detection for Time-Sync Comments—0
Cognitively Motivated Distributional Representations of Meaning—0
A Semantic Cover Approach for Topic Modeling—0
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation—0
HyCIR: Boosting Zero-Shot Composed Image Retrieval with Synthetic Labels—0
CORD19STS: COVID-19 Semantic Textual Similarity Dataset—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
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation—0
Am\'elioration de la similarit\'e s\'emantique vectorielle par m\'ethodes non-supervis\'ees (Improved the Semantic Similarity with Weighting Vectors)—0
Enhancing Semantic Similarity Understanding in Arabic NLP with Nested Embedding Learning—0
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge—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
Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement—0
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks—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
Finding Salient Context based on Semantic Matching for Relevance Ranking—0
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings—0
Cross-Level Semantic Similarity for Serbian Newswire Texts—0
Improving Brain-to-Image Reconstruction via Fine-Grained Text Bridging—0
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF—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
Internal Wasserstein Distance for Adversarial Attack and Defense—0
Improving Generalization of Image Captioning with Unsupervised Prompt Learning—0
Improving ICD-based semantic similarity by accounting for varying degrees of comorbidity—0
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues—0
Investigating the Role of Negatives in Contrastive Representation Learning—0
Improving Legal Entity Recognition Using a Hybrid Transformer Model and Semantic Filtering Approach—0
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling—0
Adaptive Logit Adjustment Loss for Long-Tailed Visual Recognition—0
Improving Multilingual Semantic Textual Similarity with Shared Sentence Encoder for Low-resource Languages—0
JUNITMZ at SemEval-2016 Task 1: Identifying Semantic Similarity Using Levenshtein Ratio—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