Papers with Code 아카이브
Entity Resolution
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 11
- 보존된 평가 기록
- 75
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.
Large Language Model-driven Multi-Agent Simulation for News Diffusion Under Different Network Structures
On Calibration of LLM-based Guard Models for Reliable Content Moderation
Multi-granularity Contrastive Cross-modal Collaborative Generation for End-to-End Long-term Video Question Answering
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions
Degrees of Freedom of Holographic MIMO in Multi-user Near-field Channels
Don't Stop Me Now: Embedding Based Scheduling for LLMs
T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution Framework
Medha: Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations
Evaluating Blocking Biases in Entity Matching
PecSched: Preemptive and Efficient Cluster Scheduling for LLM Inference
Learning variant product relationship and variation attributes from e-commerce website structures
FiAt-Net: Detecting Fibroatheroma Plaque Cap in 3D Intravascular OCT Images
Fine-tuning Large Language Models for Entity Matching
An innovation-based cycle-slip, multipath estimation, detection and mitigation method for tightly coupled GNSS/INS/Vision navigation in urban areas
Not All Videos Become Outdated: Short-Video Recommendation by Learning to Deconfound Release Interval Bias
Efficient LLM Scheduling by Learning to Rank
Surgical Workflow Recognition and Blocking Effectiveness Detection in Laparoscopic Liver Resections with Pringle Maneuver
A Novel Signal Detection Method for Photon-Counting Communications with Nonlinear Distortion Effects
Massive Dimensions Reduction and Hybridization with Meta-heuristics in Deep Learning
Unidirectional imaging with partially coherent light
Better Not to Propagate: Understanding Edge Uncertainty and Over-smoothing in Signed Graph Neural Networks
A Real-Time Adaptive Multi-Stream GPU System for Online Approximate Nearest Neighborhood Search
Innovative RIS Prototyping Enhancing Wireless Communication with Real-Time Spot Beam Tracking and OAM Wavefront Manipulation
Competition-based Adaptive ReLU for Deep Neural Networks
Capturing the security expert knowledge in feature selection for web application attack detection
BlueTempNet: A Temporal Multi-network Dataset of Social Interactions in Bluesky Social
LayoutDiT: Exploring Content-Graphic Balance in Layout Generation with Diffusion Transformer
Optimizing Cyber Defense in Dynamic Active Directories through Reinforcement Learning
LearnedKV: Integrating LSM and Learned Index for Superior Performance on Storage
Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management
Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap
OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks Optimization
Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning
Learning from Natural Language Explanations for Generalizable Entity Matching
Astrocytic NMDA Receptors Modulate the Dynamics of Continuous Attractors
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.