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» Refining Information Extraction Rules using Data Provenance
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DEBU
2010
139views more  DEBU 2010»
8 years 12 months ago
Refining Information Extraction Rules using Data Provenance
Developing high-quality information extraction (IE) rules, or extractors, is an iterative and primarily manual process, extremely time consuming, and error prone. In each iteratio...
Bin Liu 0002, Laura Chiticariu, Vivian Chu, H. V. ...
PVLDB
2010
147views more  PVLDB 2010»
8 years 9 months ago
Automatic Rule Refinement for Information Extraction
Rule-based information extraction from text is increasingly being used to populate databases and to support structured queries on unstructured text. Specification of suitable info...
Bin Liu 0002, Laura Chiticariu, Vivian Chu, H. V. ...
SIGMOD
2011
ACM
242views Database» more  SIGMOD 2011»
8 years 5 months ago
The SystemT IDE: an integrated development environment for information extraction rules
Information Extraction (IE) — the problem of extracting structured information from unstructured text — has become the key enabler for many enterprise applications such as sem...
Laura Chiticariu, Vivian Chu, Sajib Dasgupta, Thil...
PVLDB
2008
120views more  PVLDB 2008»
9 years 2 months ago
On the provenance of non-answers to queries over extracted data
In information extraction, uncertainty is ubiquitous. For this reason, it is useful to provide users querying extracted data with explanations for the answers they receive. Provid...
Jiansheng Huang, Ting Chen, AnHai Doan, Jeffrey F....
ADC
2006
Springer
130views Database» more  ADC 2006»
9 years 8 months ago
A two-phase rule generation and optimization approach for wrapper generation
Web information extraction is a fundamental issue for web information management and integrations. A common approach is to use wrappers to extract data from web pages or documents...
Yanan Hao, Yanchun Zhang
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