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 51–100 of 184 papers

TitleStatusHype
Another Generic Setting for Entity Resolution: Basic Theory—0
Assessing Crowdsourcing Quality through Objective Tasks—0
A Study on Entity Resolution for Email Conversations—0
A Survey on Efficient Processing of Similarity Queries over Neural Embeddings—0
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution—0
A Three-Way Model for Collective Learning on Multi-Relational Data—0
Author Name Disambiguation in Bibliographic Databases: A Survey—0
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information—0
Automated Metadata Harmonization Using Entity Resolution & Contextual Embedding—0
Automatic Curation and Visualization of Crime Related Information from Incrementally Crawled Multi-source News Reports—0
A Weak Self-supervision with Transition-Based Modeling for Reference Resolution—0
Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text—0
Personalized Entity Resolution with Dynamic Heterogeneous Knowledge Graph Representations—0
Personalized Entity Resolution with Dynamic Heterogeneous KnowledgeGraph Representations—0
Plato: A Selective Context Model for Entity Resolution—0
A Practical Approach to Proper Inference with Linked Data—0
Pre-Training for Query Rewriting in A Spoken Language Understanding System—0
Principled Graph Matching Algorithms for Integrating Multiple Data Sources—0
Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption—0
Probabilistic Blocking with An Application to the Syrian Conflict—0
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic—0
Record Deduplication for Entity Distribution Modeling in ASR Transcripts—0
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation—0
Resolution of Difficult Pronouns Using the ROSS Method—0
Resources and Evaluations for Danish Entity Resolution—0
Reuse and Adaptation for Entity Resolution through Transfer Learning—0
Revisiting Prompt Engineering via Declarative Crowdsourcing—0
Adaptive Deep Learning for Entity Resolution by Risk Analysis—0
Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts—0
Scalable Matching and Clustering of Entities with FAMER—0
Semantically Smooth Knowledge Graph Embedding—0
Simulating Name-like Vectors for Testing Large-scale Entity Resolution—0
SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis—0
Spatial Entity Resolution between Restaurant Locations and Transportation Destinations in Southeast Asia—0
SPINOZA\_VU: An NLP Pipeline for Cross Document TimeLines—0
The STEM-ECR Dataset: Grounding Scientific Entity References in STEM Scholarly Content to Authoritative Encyclopedic and Lexicographic Sources—0
The Swedish PoliGraph: A Semantic Graph for Argument Mining of Swedish Parliamentary Data—0
Topological and Semantic Graph-based Author Disambiguation on DBLP Data in Neo4j—0
Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty Oracle—0
Towards Interpretable and Learnable Risk Analysis for Entity Resolution—0
Validation of Matching—0
Variational Bayes for Merging Noisy Databases—0
Why the Rich Get Richer? On the Balancedness of Random Partition Models—0
Em-K Indexing for Approximate Query Matching in Large-scale ER—0
End-to-End Entity Resolution and Question Answering Using Differentiable Knowledge Graphs—0
Enforcing Relational Matching Dependencies with Datalog for Entity Resolution—0
Entity Augmentation for Efficient Classification of Vertically Partitioned Data with Limited Overlap—0
Entity Linking for Tweets—0
Entity Resolution and Federated Learning get a Federated Resolution—0
Entity Resolution and Location Disambiguation in the Ancient Hindu Temples Domain using Web Data—0
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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