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Can I read QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model on EtoBox?
QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model by Shogo Hayashi; Yuyang Dong; Masafumi Oyamada is a computer science book available to read on EtoBox.
What is QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model about?
The 4-volume set LNAI 13935 - 13938 constitutes the proceedings of the 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2023, which took place in Osaka, Japan during May 25–28, 2023.<br>The 143 papers presented in these proceedings were carefully reviewed and selected from 813 submissions. They deal with new ideas, original research results, and practical development experiences from all KDD related areas, including data mining, data warehousing, machine learning, artif
Who reads QA-Matcher: Unsupervised Entity Matching Using a Question Answering Model?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Shogo Hayashi; Yuyang Dong; Masafumi Oyamada
- Publisher
- Springer International Publishing
- Published
- 2023
- Language
- EN
- ISBN
- 9783031333835
- Category
- computer science
- Subjects
- Mathematics, Science, Technology
- Updated
- 2026-03-25
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