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 1076–1100 of 1564 papers

TitleStatusHype
A Framework for Web Services Retrieval Using Bio Inspired Clustering—0
A French Corpus for Semantic Similarity—0
A Game-Theoretic Approach to Word Sense Disambiguation—0
A General Close-loop Predictive Coding Framework for Auditory Working Memory—0
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments—0
Agnostic Personalized Federated Learning with Kernel Factorization—0
A Graph Based Semi-Supervised Approach for Analysis of Derivational Nouns in Sanskrit—0
A Graph-theoretic Summary Evaluation for ROUGE—0
AHAM: Adapt, Help, Ask, Model -- Harvesting LLMs for literature mining—0
A Hybrid Neural Network Model for Commonsense Reasoning—0
AI-based Approach for Safety Signals Detection from Social Networks: Application to the Levothyrox Scandal in 2017 on Doctissimo Forum—0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
A Knowledge-Based Approach to Word Sense Disambiguation by distributional selection and semantic features—0
A Knowledge Graph Based Solution for Entity Discovery and Linking in Open-Domain Questions—0
A Large-Scale Multilingual Disambiguation of Glosses—0
ALBERT with Knowledge Graph Encoder Utilizing Semantic Similarity for Commonsense Question Answering—0
ALF -- A Fitness-Based Artificial Life Form for Evolving Large-Scale Neural Networks—0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity—0
Aligning Sentences from Standard Wikipedia to Simple Wikipedia—0
ALOHa: A New Measure for Hallucination in Captioning Models—0
A Massive Scale Semantic Similarity Dataset of Historical English—0
Ambiguity-Aware In-Context Learning with Large Language Models—0
Am\'elioration de la similarit\'e s\'emantique vectorielle par m\'ethodes non-supervis\'ees (Improved the Semantic Similarity with Weighting Vectors)—0
A Meta-Evaluation of Style and Attribute Transfer Metrics—0
A Method for Estimating the Proximity of Vector Representation Groups in Multidimensional Space. On the Example of the Paraphrase 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