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 651–700 of 1564 papers

TitleStatusHype
Doctoral Advisor or Medical Condition: Towards Entity-specific Rankings of Knowledge Base Properties [Extended Version]—0
Do Cross Modal Systems Leverage Semantic Relationships?—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
DOCK: Detecting Objects by transferring Common-sense Knowledge—0
DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity—0
An Improved Model of Semantic Similarity Based on Lexical Co-Occurrence—0
Distributional Measures of Semantic Distance: A Survey—0
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking—0
Distractor Generation for Chinese Fill-in-the-blank Items—0
An evaluative baseline for geo-semantic relatedness and similarity—0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating—0
A Closer Look at Novel Class Discovery from the Labeled Set—0
Towards Automated Situation Awareness: A RAG-Based Framework for Peacebuilding Reports—0
Dissociating Semantic and Phonemic Search Strategies in the Phonemic Verbal Fluency Task in early Dementia—0
BeLightRec: A lightweight recommender system enhanced with BERT—0
Discriminative Supervised Subspace Learning for Cross-modal Retrieval—0
A Neurosymbolic Framework for Bias Correction in Convolutional Neural Networks—0
Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization—0
Semantic Similarity-Informed Bayesian Borrowing for Quantitative Signal Detection of Adverse Events—0
Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base—0
Discourse Relation Sense Classification Using Cross-argument Semantic Similarity Based on Word Embeddings—0
An enhanced method to compute the similarity between concepts of ontology—0
A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation -- through the Lens of Semantic Similarity Rating—0
Direct Network Transfer: Transfer Learning of Sentence Embeddings for Semantic Similarity—0
Differentially Private Adversarial Robustness Through Randomized Perturbations—0
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone—0
An Empirical study of Unsupervised Neural Machine Translation: analyzing NMT output, model's behavior and sentences' contribution—0
DialoGPS: Dialogue Path Sampling in Continuous Semantic Space for Data Augmentation in Multi-Turn Conversations—0
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models—0
Detecting Singleton Review Spammers Using Semantic Similarity—0
Detecting Redundant Health Survey Questions Using Language-agnostic BERT Sentence Embedding (LaBSE)—0
Back-of-the-Book Index Automation for Arabic Documents—0
An Efficient Approach to Learning Chinese Judgment Document Similarity Based on Knowledge Summarization—0
Adversarial Training with Contrastive Learning in NLP—0
Detecting Paraphrases of Standard Clause Titles in Insurance Contracts—0
Detecting Collocations Similarity via Logical-Linguistic Model—0
A web-based tool to Analyze Semantic Similarity Networks—0
Detecting Backdoor Attacks via Similarity in Semantic Communication Systems—0
DeSpin: a prototype system for detecting spin in biomedical publications—0
A weakly supervised adaptive triplet loss for deep metric learning—0
Deploying Deep Ranking Models for Search Verticals—0
Dense Associative Memory is Robust to Adversarial Inputs—0
A Vector Space for Distributional Semantics for Entailment—0
An Attention-Based Word-Level Interaction Model: Relation Detection for Knowledge Base Question Answering—0
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor—0
Automating Transfer Credit Assessment in Student Mobility -- A Natural Language Processing-based Approach—0
DEMO: A Statistical Perspective for Efficient Image-Text Matching—0
DELTA: Pre-train a Discriminative Encoder for Legal Case Retrieval via Structural Word Alignment—0
Automating the Compilation of Potential Core-Outcomes for Clinical Trials—0
Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task—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