QXtract: A Building Block for Efficient Information Extraction from Text Databases
Summary: QXtract: a building block for efficient information extraction from text databases. Addresses the extraction bottleneck by integrating EI with relational processing to scale to millions of documents, enabling queryable structured data and data mining from unstructured text. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Eugene Agichtein (Columbia University)
- 2. Luis Gravano (Columbia University)
BibTeX Citation
@inproceedings{agichtein_sigmod03,
title = {{QXtract: A Building Block for Efficient Information Extraction from Text Databases}},
author = {Agichtein, Eugene and Gravano, Luis},
series = {{SIGMOD} '03},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/872757.872851},
url = {https://dl.acm.org/doi/10.1145/872757.872851},
year = {2003}
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