About
Finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)
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Greatest papers with code
Biomedical Named Entity Recognition at Scale
Named entity recognition (NER) is a widely applicable natural language processing task and building block of question answering, topic modeling, information retrieval, etc.
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Named Entity Recognition
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ENTITY RESOLUTION INFORMATION RETRIEVAL MEDICAL NAMED ENTITY RECOGNITION QUESTION ANSWERING RELATION EXTRACTION
A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching
• Living-with-machines/DeezyMatch
• 
We 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.
d-blink: Distributed End-to-End Bayesian Entity Resolution
Entity resolution (ER; also known as record linkage or de-duplication) is the process of merging noisy databases, often in the absence of unique identifiers.
Optimal Transport-based Alignment of Learned Character Representations for String Similarity
ACL 2019
• iesl/stance
•
We evaluate STANCE's ability to detect whether two strings can refer to the same entity--a task we term alias detection.
Alaska: A Flexible Benchmark for Data Integration Tasks
A limitation of such benchmarks is that they typically come with their own task definition and it can be difficult to leverage them for complex integration pipelines.
Learning Text Representations for 500K Classification Tasks on Named Entity Disambiguation
CONLL 2018
• anderbarrena/500kNED
•
Named Entity Disambiguation algorithms typically learn a single model for all target entities.
DATA AUGMENTATION ENTITY DISAMBIGUATION ENTITY LINKING ENTITY RESOLUTION TRANSFER LEARNING WORD EMBEDDINGS
Crowdsourced Collective Entity Resolution with Relational Match Propagation
Knowledge bases (KBs) store rich yet heterogeneous entities and facts.
Accelerating Column Generation via Flexible Dual Optimal Inequalities with Application to Entity Resolution
We tackle optimization of weighted set packing by relaxing integrality in our ILP formulation.
Crowdsourcing and Aggregating Nested Markable Annotations
One of the key steps in language resource creation is the identification of the text segments to be annotated, or markables, which depending on the task may vary from nominal chunks for named entity resolution to (potentially nested) noun phrases in coreference resolution (or mentions) to larger text segments in text segmentation.