Numerical Formula Recognition from Tables-Reference-Cited by-同舟云学术

Numerical Formula Recognition from Tables

Published:2021-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
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Author:

Yang Qingping¹,Cao Yixuan¹,Li Hongwei²,Luo Ping³

Affiliation:

1. Institute of Computing Technology, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China

2. P.A.I. Ltd., Beijing, China

3. Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences & Peng Cheng Lab., Beijing, China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3447548.3467425

Reference35 articles.

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2. TabEL: Entity Linking in Web Tables

3. Alex Brandsen Suzan Verberne Milco Wansleeben and Karsten Lambers. 2020. Creating a Dataset for Named Entity Recognition in the Archaeology Domain. In LREC. 4573--4577. Alex Brandsen Suzan Verberne Milco Wansleeben and Karsten Lambers. 2020. Creating a Dataset for Named Entity Recognition in the Archaeology Domain. In LREC. 4573--4577.

4. Francesca Cesarini Simone Marinai L Sarti and Giovanni Soda. 2002. Trainable table location in document images. In ICPR. Francesca Cesarini Simone Marinai L Sarti and Giovanni Soda. 2002. Trainable table location in document images. In ICPR.

5. Xilun Chen Laura Chiticariu Marina Danilevsky Alexandre Evfimievski and Prithviraj Sen. 2017. A Rectangle Mining Method for Understanding the Semantics of Financial Tables. In ICDAR. Xilun Chen Laura Chiticariu Marina Danilevsky Alexandre Evfimievski and Prithviraj Sen. 2017. A Rectangle Mining Method for Understanding the Semantics of Financial Tables. In ICDAR.

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