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 551–575 of 1564 papers

TitleStatusHype
Estimating Quality in Therapeutic Conversations: A Multi-Dimensional Natural Language Processing Framework—0
Bundle Optimization for Multi-aspect Embedding—0
Equation Embeddings—0
Building Static Embeddings from Contextual Ones: Is It Useful for Building Distributional Thesauri?—0
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access—0
Building Semantic Grams of Human Knowledge—0
Enhancing user creativity: Semantic measures for idea generation—0
Enhancing Taobao Display Advertising with Multimodal Representations: Challenges, Approaches and Insights—0
Building RadiologyNET: Unsupervised annotation of a large-scale multimodal medical database—0
A partition-based similarity for classification distributions—0
Agnostic Personalized Federated Learning with Kernel Factorization—0
Enhancing Health Information Retrieval with RAG by Prioritizing Topical Relevance and Factual Accuracy—0
Enhancing End-to-End Multi-Task Dialogue Systems: A Study on Intrinsic Motivation Reinforcement Learning Algorithms for Improved Training and Adaptability—0
Building Lexical Vector Representations from Concept Definitions—0
Enhancing Automatic Term Extraction with Large Language Models via Syntactic Retrieval—0
Enhanced Word Representations for Bridging Anaphora Resolution—0
Building Interpretable and Reliable Open Information Retriever for New Domains Overnight—0
A Paraphrase and Semantic Similarity Detection System for User Generated Short-Text Content on Microblogs—0
End-To-End Graph-based Deep Semi-Supervised Learning—0
Building a Synthetic Biomedical Research Article Citation Linkage Corpus—0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
BUAP: Lexical and Semantic Similarity for Cross-lingual Textual Entailment—0
A Parametric Similarity Method: Comparative Experiments based on Semantically Annotated Large Datasets—0
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments—0
A Comparative Study of Sentence Embedding Models for Assessing Semantic Variation—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