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Entity Resolution
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Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)
Surveys on entity resolution:
Christophides et al.: End-to-End Entity Resolution for Big Data: A Survey, 2020.
Barlaug and Gulla: Neural Networks for Entity Matching: A Survey, 2021.
The task of entity resolution is closely related to the task of entity alignment which focuses on matching entities between knowledge bases. The task of entity linking differs from entity resolution as entity linking focuses on identifying entity mentions in free text.
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Reinforcement Learning for Dynamic Resource Allocation in Optical Networks: Hype or Hope?
Observability-Blocking Controls for Double-Integrator and Higher Order Integrator Networks
Evolving Hate Speech Online: An Adaptive Framework for Detection and Mitigation
Democratizing AI: Open-source Scalable LLM Training on GPU-based Supercomputers
Linking Cryptoasset Attribution Tags to Knowledge Graph Entities: An LLM-based Approach
DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation
Leveraging Large Language Models to Predict Antibody Biological Activity Against Influenza A Hemagglutinin
Enhancing Model Defense Against Jailbreaks with Proactive Safety Reasoning
Replacing the Gallium Oxide Shell with Conductive Ag: Toward a Printable and Recyclable Composite for Highly Stretchable Electronics, Electromagnetic Shielding, and Thermal Interfaces
Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
CAMEO: Autocorrelation-Preserving Line Simplification for Lossy Time Series Compression
Hybrid Parallel Collaborative Simulation Framework Integrating Device Physics with Circuit Dynamics for PDAE-Modeled Power Electronic Equipment
Broadband measurements and analysis of human blocking in a 60 GHz indoor radio channel
Gandalf the Red: Adaptive Security for LLMs
Network Diffuser for Placing-Scheduling Service Function Chains with Inverse Demonstration
mFabric: An Efficient and Scalable Fabric for Mixture-of-Experts Training
ABACUS: A FinOps Service for Cloud Cost Optimization
Block-Based Multi-Scale Image Rescaling
Leveraging User-Generated Metadata of Online Videos for Cover Song Identification
BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks
Precision-Enhanced Human-Object Contact Detection via Depth-Aware Perspective Interaction and Object Texture Restoration
Knowledge Graph Guided Evaluation of Abstention Techniques
The Hyperfitting Phenomenon: Sharpening and Stabilizing LLMs for Open-Ended Text Generation
Analysis of Blocking in mmWave Cellular Systems: Characterization of the LOS and NLOS Intervals in Urban Scenarios
Effect of Correlated Building Blockages on the Ergodic Capacity of mmWave Systems in Urban Scenarios
Avoiding Deadlocks Is Not Enough: Analysis and Resolution of Blocked Airplanes
Block based Adaptive Compressive Sensing with Sampling Rate Control
Leveraging large language models for efficient representation learning for entity resolution
LOS/NLOS Estimators for mmWave Cellular Systems With Blockages
Synergizing Hyper-accelerated Power Optimization and Wavelength-Dependent QoT-Aware Cross-Layer Design in Next-Generation Multi-Band EONs
ALISE: Accelerating Large Language Model Serving with Speculative Scheduling
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and Resolution
Annotation Efficiency: Identifying Hard Samples via Blocked Sparse Linear Bandits
A Stochastic Approximation Approach for Efficient Decentralized Optimization on Random Networks
Towards Effective Planning Strategies for Dynamic Opinion Networks
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