Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings-Reference-Cited by-同舟云学术

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Learning Structural Co-occurrences for Structured Web Data Extraction in Low-Resource Settings

Published:2023-04-30 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the ACM Web Conference 2023
language:
Short-container-title:

Author:

Zhang Zhenyu¹^ORCID,Yu Bowen¹^ORCID,Liu Tingwen¹^ORCID,Liu Tianyun¹^ORCID,Wang Yubin¹^ORCID,Guo Li¹^ORCID

Affiliation:

1. Institute of Information Engineering, Chinese Academy of Sciences, China and School of Cyber Security, University of Chinese Academy of Sciences, China

Funder

National Key Research and Development Program of China

Strategic Priority Research Program of Chinese Academy of Sciences

Youth Innovation Promotion Association of Chinese Academy of Sciences

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3543507.3583387

Reference42 articles.

1. Multi-turn intent determination and slot filling with neural networks and regular expressions

2. Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval

3. Bootstrapping Information Extraction from Semi-structured Web Pages

4. The smallest extraction problem

5. Automatic wrappers for large scale web extraction

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An efficient content extraction method for webpage based on tag-line-block analysis;Soft Computing;2023-08-24

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