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 551–600 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
Evaluations at Work: Measuring the Capabilities of GenAI in Use—0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Brotherhood at WMT 2024: Leveraging LLM-Generated Contextual Conversations for Cross-Lingual Image Captioning—0
Embracing Ambiguity: Improving Similarity-oriented Tasks with Contextual Synonym Knowledge—0
Bringing Semantics into Focus Using Visual Abstraction—0
Embodied Image Captioning: Self-supervised Learning Agents for Spatially Coherent Image Descriptions—0
Embed-Search-Align: DNA Sequence Alignment using Transformer Models—0
Embedding Transfer via Smooth Contrastive Loss—0
Embeddings models for Buddhist Sanskrit—0
Bridging the Gap: Incorporating a Semantic Similarity Measure for Effectively Mapping PubMed Queries to Documents—0
An Unsupervised Sampling Approach for Image-Sentence Matching Using Document-Level Structural Information—0
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction—0
Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish—0
Embedding Semantic Hierarchy in Discrete Optimal Transport for Risk Minimization—0
Optimal Embedding Calibration for Symbolic Music Similarity—0
An Unsupervised Dialogue Topic Segmentation Model Based on Utterance Rewriting—0
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
A Novel Word Sense Disambiguation Approach Using WordNet Knowledge Graph—0
A General Close-loop Predictive Coding Framework for Auditory Working Memory—0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection—0
Efficient Multi-Modal Embeddings from Structured Data—0
Efficient learning of neighbor representations for boundary trees and forests—0
RealignDiff: Boosting Text-to-Image Diffusion Model with Coarse-to-fine Semantic Re-alignment—0
Efficient Embedding of Semantic Similarity in Control Policies via Entangled Bisimulation—0
Efficient Domain Adaptation of Sentence Embeddings Using Adapters—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 uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT cased (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