SOTAVerified

Entity Resolution

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:

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.

Papers

Showing 1–10 of 184 papers

TitleStatusHype
ChatPD: An LLM-driven Paper-Dataset Networking SystemCode0
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information—0
Text2Tracks: Prompt-based Music Recommendation via Generative RetrievalCode0
From Documents to Dialogue: Building KG-RAG Enhanced AI Assistants—0
Leveraging User-Generated Metadata of Online Videos for Cover Song Identification—0
Leveraging large language models for efficient representation learning for entity resolution—0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
Gem: Gaussian Mixture Model Embeddings for Numerical Feature Distributions—0
T-KAER: Transparency-enhanced Knowledge-Augmented Entity Resolution FrameworkCode0
Learning variant product relationship and variation attributes from e-commerce website structures—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BERTF1 (%)96.53—Unverified
2RoBERTa-SupConF1 (%)95.21—Unverified
3HGF1 (%)88.5—Unverified
4DADER-MMDF1 (%)88—Unverified
5DittoF1 (%)80.76—Unverified
6JointBERTF1 (%)77.55—Unverified