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 51–75 of 184 papers

TitleStatusHype
FairER: Entity Resolution with Fairness ConstraintsCode0
In Search of an Entity Resolution OASIS: Optimal Asymptotic Sequential Importance SamplingCode0
Crowdsourced Collective Entity Resolution with Relational Match PropagationCode0
Crowdsourcing and Aggregating Nested Markable AnnotationsCode0
Profiling Entity Matching Benchmark TasksCode0
A Weak Self-supervision with Transition-Based Modeling for Reference Resolution—0
Deriving Adjectival Scales from Continuous Space Word Representations—0
Automatic Curation and Visualization of Crime Related Information from Incrementally Crawled Multi-source News Reports—0
Automated Metadata Harmonization Using Entity Resolution & Contextual Embedding—0
Automated Construction of a Knowledge Graph of Nuclear Fusion Energy for Effective Elicitation and Retrieval of Information—0
Anaphora and Coreference Resolution: A Review—0
Cost-effective Variational Active Entity Resolution—0
(Almost) All of Entity Resolution—0
CorDEL: A Contrastive Deep Learning Approach for Entity Linkage—0
Author Name Disambiguation in Bibliographic Databases: A Survey—0
Concept Identification of Directly and Indirectly Related Mentions Referring to Groups of Persons—0
Complex and Holographic Embeddings of Knowledge Graphs: A Comparison—0
A Three-Way Model for Collective Learning on Multi-Relational Data—0
Alleviating Poor Context with Background Knowledge for Named Entity Disambiguation—0
Adaptive Candidate Generation for Scalable Edge-discovery Tasks on Data Graphs—0
Combining Global and Local Merges in Logic-based Entity Resolution—0
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution—0
A Theoretical Analysis of First Heuristics of Crowdsourced Entity Resolution—0
Collective Entity Resolution with Multi-Focal Attention—0
Clustering with Noisy Queries—0
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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