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

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Showing 1–50 of 184 papers

TitleStatusHype
Can Foundation Models Wrangle Your Data?Code5
AutoBlock: A Hands-off Blocking Framework for Entity MatchingCode1
How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name DisambiguationCode1
Intermediate Training of BERT for Product MatchingCode1
Rotom: A Meta-Learned Data Augmentation Framework for Entity Matching, Data Cleaning, Text Classification, and BeyondCode1
PIZZA: A new benchmark for complex end-to-end task-oriented parsingCode1
Match, Compare, or Select? An Investigation of Large Language Models for Entity MatchingCode1
Entity Matching using Large Language ModelsCode1
Deep Indexed Active Learning for Matching Heterogeneous Entity RepresentationsCode1
A Critical Re-evaluation of Neural Methods for Entity AlignmentCode1
Deep Entity Matching with Pre-Trained Language ModelsCode1
Cost-Effective In-Context Learning for Entity Resolution: A Design Space ExplorationCode1
Supervised Contrastive Learning for Product MatchingCode1
A Deep Learning Approach to Geographical Candidate Selection through Toponym MatchingCode1
Entity Resolution with Hierarchical Graph Attention NetworksCode1
WDC Products: A Multi-Dimensional Entity Matching BenchmarkCode1
Fine-tuning Large Language Models for Entity MatchingCode1
Estimating the Performance of Entity Resolution Algorithms: Lessons Learned Through PatentsView.orgCode1
Dual-Objective Fine-Tuning of BERT for Entity MatchingCode1
Domain Adaptation for Deep Entity Resolution: A Design Space ExplorationCode1
A Practioner's Guide to Evaluating Entity Resolution ResultsCode1
Using ChatGPT for Entity MatchingCode1
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]Code1
Unicorn: A Unified Multi-tasking Model for Supporting Matching Tasks in Data IntegrationCode1
SC-Block: Supervised Contrastive Blocking within Entity Resolution PipelinesCode0
Probing the Robustness of Pre-trained Language Models for Entity MatchingCode0
Profiling Entity Matching Benchmark TasksCode0
ZeroER: Entity Resolution using Zero Labeled ExamplesCode0
Analyzing how BERT performs entity matchingCode0
Learning Text Representations for 500K Classification Tasks on Named Entity DisambiguationCode0
In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance SamplingCode0
Optimal Transport-based Alignment of Learned Character Representations for String SimilarityCode0
Text2Tracks: Prompt-based Music Recommendation via Generative RetrievalCode0
FairER: Entity Resolution with Fairness ConstraintsCode0
Effective Explanations for Entity Resolution ModelsCode0
FlexER: Flexible Entity Resolution for Multiple IntentsCode0
Deep Learning for Entity Matching: A Design Space ExplorationCode0
Active Gradual Machine Learning for Entity ResolutionCode0
ChatPD: An LLM-driven Paper-Dataset Networking SystemCode0
EAGER: Embedding-Assisted Entity Resolution for Knowledge GraphsCode0
Graph-boosted Active Learning for Multi-Source Entity ResolutionCode0
CEREC: A Corpus for Entity Resolution in Email ConversationsCode0
Crowdsourcing and Aggregating Nested Markable AnnotationsCode0
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity ResolutionCode0
d-blink: Distributed End-to-End Bayesian Entity ResolutionCode0
Deduplication Over Heterogeneous Attribute Types (D-HAT)Code0
Bonafide at LegalLens 2024 Shared Task: Using Lightweight DeBERTa Based Encoder For Legal Violation Detection and ResolutionCode0
Biomedical Named Entity Recognition at ScaleCode0
Cross-Language Learning for Entity MatchingCode0
A Critical Re-evaluation of Benchmark Datasets for (Deep) Learning-Based Matching AlgorithmsCode0
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All datasetsAmazon-GoogleAbt-BuyWDC Products-80%cc-seen-mediumWDC Computers-smallWDC Computers-xlargeWDC Products-50%cc-unseen-mediumWDC Watches-smallMusicBrainz20KWDC Watches-xlargeWDC Products-80%cc-seen-medium-multiWDC Products

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1gpt4-0613_fewshot-10F1 (%)85.21—Unverified
2gpt-4o-mini-2024-07-18_fine_tunedF1 (%)80.25—Unverified
3RoBERTa-SupConF1 (%)79.28—Unverified
4RobEMF1 (%)79.06—Unverified
5Random ForestF1 (%)79—Unverified
6HGF1 (%)76.4—Unverified
7DittoF1 (%)75.58—Unverified
8CorDEL-SumF1 (%)70.2—Unverified
9DeepMatcher - HybridF1 (%)69.3—Unverified
10D-HATF1 (%)67.5—Unverified
#ModelMetricClaimedVerifiedStatus
1gpt4-0613_zeroshotF1 (%)95.78—Unverified
2RoBERTa-SupConF1 (%)94.29—Unverified
3gpt-4o-mini-2024-07-18_fine_tunedF1 (%)94.09—Unverified
4gpt-4o-2024-08-06F1 (%)92.2—Unverified
5RobEMF1 (%)90.9—Unverified
6HGF1 (%)89.8—Unverified
7DittoF1 (%)89.33—Unverified
8gpt-4o-mini-2024-07-18F1 (%)87.68—Unverified
9Meta-Llama-3.1-8B-Instruct_fine_tunedF1 (%)87.34—Unverified
10Random ForestF1 (%)85—Unverified
#ModelMetricClaimedVerifiedStatus
1gpt4-0613_zeroshotF1 (%)89.61—Unverified
2gpt-4o-2024-08-06_fine_tuned_wdc_smallF1 (%)87.1—Unverified
3gpt-4o-mini-2024-07-18_structured_explanationsF1 (%)84.38—Unverified
4gpt-4o-mini-2024-07-18F1 (%)81.61—Unverified
5RoBERTa-SupConF1 (%)79.99—Unverified
6Llama3.1_70B_structured_explanationsF1 (%)76.7—Unverified
7Llama3.1_70BF1 (%)75.2—Unverified
8Llama3.1_8B_error-based_example_selectionF1 (%)74.37—Unverified
9Llama3.1_8B_structured_explanationsF1 (%)74.13—Unverified
10DittoF1 (%)73.93—Unverified
#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
#ModelMetricClaimedVerifiedStatus
1RoBERTa-SupConF1 (%)98.33—Unverified
2JointBERTF1 (%)97.49—Unverified
3BERTF1 (%)97.37—Unverified
4HGF1 (%)96.5—Unverified
5DittoF1 (%)95.45—Unverified
6Random ForestF1 (%)78—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-baseF1 (%)71.14—Unverified
2DittoF1 (%)70.66—Unverified
3HGF1 (%)68.74—Unverified
4RoBERTa-SupConF1 (%)57.23—Unverified
#ModelMetricClaimedVerifiedStatus
1HGF1 (%)94—Unverified
2DADER-NoDAF1 (%)88.6—Unverified
3DittoF1 (%)85.12—Unverified
4JointBERTF1 (%)75.83—Unverified
#ModelMetricClaimedVerifiedStatus
1ALMSER-GBF10.95—Unverified
2FAMER-SplitMergeF10.88—Unverified
3FAMER-SplitF10.84—Unverified
#ModelMetricClaimedVerifiedStatus
1JointBERTF1 (%)97.09—Unverified
2DittoF1 (%)96.53—Unverified
3HGF1 (%)96.5—Unverified
#ModelMetricClaimedVerifiedStatus
1RoBERTa-SupConF1 Micro88.63—Unverified
2RoBERTa-baseF1 Micro52.03—Unverified
#ModelMetricClaimedVerifiedStatus
1gpt-4o-2024-08-06_fine_tuned_wdc_smallF1 (%)87.07—Unverified