Machop: an end-to-end generalized entity matching framework

@article{Wang2022MachopAE,
  title={Machop: an end-to-end generalized entity matching framework},
  author={Jin Wang and Yuliang Li and Wataru Hirota and Eser Kandogan},
  journal={Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management},
  year={2022}
}
  • Jin WangYuliang Li E. Kandogan
  • Published 10 June 2022
  • Computer Science
  • Proceedings of the Fifth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management
Real-world applications frequently seek to solve a general form of the Entity Matching (EM) problem to find associated entities. Such scenarios include matching jobs to candidates in job targeting, matching students with courses in online education, matching products with user reviews on e-commercial websites, and beyond. These tasks impose new requirements such as matching data entries with diverse formats or having a flexible and semantics-rich matching definition, which are beyond the… 

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References

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