Browse State-of-the-Art › Entity Resolution
Entity Resolution
55 papers with code · 11 benchmarks · 12 datasets archive 2025-07-28
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:
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Christophides et al.: End-to-End Entity Resolution for Big Data: A Survey, 2020.
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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.
Description from the archive archive 2025-07-28; Papers-with-Code links inside it are rewritten to this site.
Benchmarks archive 2025-07-28
11 leaderboard tables shown for this task, 11 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted. 10 shown of 11 until expanded.
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
12 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
1 subtask in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 55 papers with code (184 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
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13 Sep 2019 4 repositories listedEntity resolution (ER; also known as record linkage or de-duplication) is the process of merging noisy databases, often in the absence of unique identifiers.
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3 Oct 2022 3 repositories listedThis paper introduces a novel evaluation methodology for entity resolution algorithms.
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27 May 2024 2 repositories listedBased on our findings, we further design a compound entity matching framework (ComEM) that leverages the composition of multiple strategies and LLMs.
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23 Apr 2024 2 repositories listedBlocking is a critical step in entity resolution, and the emergence of neural network-based representation models has led to the development of dense blocking as a promising approach for exploring deep semantics in…
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1 Dec 2022 2 repositories listedMuch recent work in task-oriented parsing has focused on finding a middle ground between flat slots and intents, which are inexpressive but easy to annotate, and powerful representations such as the lambda calculus,…
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20 May 2022 2 repositories listedFoundation Models (FMs) are models trained on large corpora of data that, at very large scale, can generalize to new tasks without any task-specific finetuning.
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17 Sep 2020 2 repositories listedWe report its performance on candidate selection in the context of the downstream task of toponym resolution, both on existing datasets and on a new manually-annotated resource of nineteenth-century English OCR'd text.
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31 Aug 2020 2 repositories listedAdding the masked language modeling objective in the intermediate training step in order to further adapt the language model to the application domain leads to an additional increase of up to 3% F1.
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28 May 2025 1 repository listedScientific research heavily depends on suitable datasets for method validation, but existing academic platforms with dataset management like PapersWithCode suffer from inefficiencies in their manual workflow.
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31 Mar 2025 1 repository listedThrough an offline evaluation on a dataset of playlists with language inputs, we find that (1) the strategy to create IDs for music tracks is the most important factor for the effectiveness of Text2Tracks and semantic…
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30 Oct 2024 1 repository listedIn this work, we present two systems -- Named Entity Resolution (NER) and Natural Language Inference (NLI) -- for detecting legal violations within unstructured textual data and for associating these violations with…
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30 Sep 2024 1 repository listedTo address the T-Qs, T-KAER is designed to improve transparency by documenting the entity resolution processes in log files.
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12 Sep 2024 1 repository listedOur experiments show that fine-tuning significantly improves the performance of the smaller models while the results for the larger models are mixed.
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8 Apr 2024 1 repository listedThese benchmark data sets can then be used for model training and a variety of evaluation tasks.
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7 Dec 2023 1 repository listedHowever, existing ICL approaches to ER typically necessitate providing a task description and a set of demonstrations for each entity pair and thus have limitations on the monetary cost of interfacing LLMs.
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17 Oct 2023 1 repository listedWe demonstrate that the model can generate meaningful textual descriptions of the identified error classes, which can help data engineers to improve entity matching pipelines.
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3 Jul 2023 1 repository listedEntity resolution (ER) is the process of identifying records that refer to the same entities within one or across multiple databases.
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5 May 2023 1 repository listedAlways using the same set of 10 handpicked demonstrations leads to an improvement of 4.
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1 May 2023 1 repository listedThe widely used practice is to build task-specific or even dataset-specific solutions, which are hard to generalize and disable the opportunities of knowledge sharing that can be learned from different datasets and…
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24 Apr 2023 1 repository listedThis is applied to both main steps of ER, i.
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6 Mar 2023 1 repository listedTo reduce these runtimes, entity resolution pipelines are constructed of two parts: a blocker that applies a computationally cheap method to select candidate record pairs, and a matcher that afterwards identifies…
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23 Jan 2023 1 repository listedIt also shows that for entity matching contrastive learning is more training data efficient compared to cross-encoders.
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24 Nov 2022 1 repository listedDeduplication is the task of recognizing multiple representations of the same real-world object.
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1 Oct 2022 1 repository listedThe paradigm of fine-tuning Pre-trained Language Models (PLMs) has been successful in Entity Matching (EM).
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23 Aug 2022 1 repository listedIn what follows, we introduce the problem of multiple intents entity resolution (MIER), an extension to the universal (single intent) entity resolution task.
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1 Jun 2022 1 repository listedHowever, there is often interdependence between different pairs of ER decisions, e.
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1 Jun 2022 1 repository listedEntity resolution (ER) is a core problem of data integration.
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1 May 2022 1 repository listedRecognizing biomedical entities in the text has significance in biomedical and health science research, as it benefits myriad downstream tasks, including entity linking, relation extraction, or entity resolution.
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1 Apr 2022 1 repository listedOur findings shed light on the potential problems resulting from an impulsive application of neural methods as a panacea for all data analytics tasks.
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1 Apr 2022 1 repository listedState-of-the-art Entity Matching (EM) approaches rely on transformer architectures, such as BERT, for generating highly contex-tualized embeddings of terms.
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