Synthesis and machine learning for heterogeneous extraction-Reference-Cited by-同舟云学术

Synthesis and machine learning for heterogeneous extraction

Published:2019-06-08 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation
language:
Short-container-title:

Author:

Iyer Arun¹,Jonnalagedda Manohar²,Parthasarathy Suresh¹,Radhakrishna Arjun³,Rajamani Sriram K.¹

Affiliation:

1. Microsoft Research, India

2. Inpher, Switzerland

3. Microsoft, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3314221.3322485

Reference26 articles.

1. 2015. Microsoft Program Synthesis using Examples SDK. https://microsoft.github.io/prose/. 2015. Microsoft Program Synthesis using Examples SDK. https://microsoft.github.io/prose/.

2. Automatic wrappers for large scale web extraction

Cited by 13 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. VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11

2. Large-Scale Entity Extraction from Enterprise Data;Proceedings of the Second International Conference on AI-ML Systems;2022-10-12

3. Large-Scale Information Extraction under Privacy-Aware Constraints;Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2022-08-14

4. Blueprint;Proceedings of the VLDB Endowment;2022-08

5. Spine: Scaling up Programming-by-Negative-Example for String Filtering and Transformation;Proceedings of the 2022 International Conference on Management of Data;2022-06-10