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» Machine Learning for Information Extraction
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ACL
2011
14 years 1 months ago
Template-Based Information Extraction without the Templates
Standard algorithms for template-based information extraction (IE) require predefined template schemas, and often labeled data, to learn to extract their slot fillers (e.g., an ...
Nathanael Chambers, Dan Jurafsky
CEAS
2004
Springer
15 years 3 months ago
Extracting social networks and contact information from email and the Web
We present an end-to-end system that extracts a user’s social network and its members’ contact information given the user’s email inbox. The system identifies unique people...
Aron Culotta, Ron Bekkerman, Andrew McCallum
IJCAI
2001
14 years 11 months ago
Adaptive Information Extraction from Text by Rule Induction and Generalisation
(LP)2 is a covering algorithm for adaptive Information Extraction from text (IE). It induces symbolic rules that insert SGML tags into texts by learning from examples found in a u...
Fabio Ciravegna
HIS
2007
14 years 11 months ago
Pareto-based Multi-Objective Machine Learning
—Machine learning is inherently a multiobjective task. Traditionally, however, either only one of the objectives is adopted as the cost function or multiple objectives are aggreg...
Yaochu Jin
ACL
2010
14 years 7 months ago
Open Information Extraction Using Wikipedia
Information-extraction (IE) systems seek to distill semantic relations from naturallanguage text, but most systems use supervised learning of relation-specific examples and are th...
Fei Wu 0003, Daniel S. Weld