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Abstract: We present a method for learning wrappers for multislot extraction from semi-structured documents. The presented method learns how to construct automatically wrappers from positive examples, consisting of text tuples occurring in the document. These wrappers (T-wrappers) are based on a feature structure unification based pattern language for information extraction. The presented technique is an inductive machine learning method based on a modified version of least general generalization... (Update)
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BibTeX entry: (Update)
B. Thomas, `Anti-unification based learning of T-Wrappers for information extraction ', in Proc. of AAAI Workshop on Machine Learning for IE, pp. 15--20. AAAI, (1999). http://citeseer.ist.psu.edu/thomas99antiunification.html More
@inproceedings{ thomas99anti,
author = "Bernd Thomas",
title = "Anti Unification Based Learning of {T}-Wrappers for Information Extraction",
booktitle = "Proceedings of the Workshop on Machine Learning for Information Extraction",
year = "1999",
url = "citeseer.ist.psu.edu/thomas99antiunification.html" }
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10 Logic programs for intelligent web search - Thomas
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1 An Introduction to Unification-Based Approaches to Grammar (context) - Dissertation, Edinburgh - 1986
The graph only includes citing articles where the year of publication is known.
Documents on the same site (http://www.uni-koblenz.de/~bthomas/MIA_HTML/): More
Ubiquitous Web Information Agents - Beuster, Thomas, Wolff (2000) (Correct)
MIA - An Ubiquitous Multi-Agent Web Information System - Beuster, Thomas, Wolff (2000) (Correct)
Token-Templates and Logic Programs for Intelligent Web Search - Thomas (2000) (Correct)
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