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» Automatic Extraction of Hierarchical Relations from Text
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ACSC
2003
IEEE
14 years 1 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
SEMCO
2007
IEEE
14 years 2 months ago
Nested Named Entity Recognition in Historical Archive Text
This paper describes work on Named Entity Recognition (NER), in preparation for Relation Extraction (RE), on data from a historical archive organisation. As is often the case in t...
Kate Byrne
TREC
2004
13 years 9 months ago
The University of Michigan in Novelty 2004
This year we participated in the Novelty track. To find the relevant sentences, we combine sentence salience features that are inherited from text summarization domain with other ...
Günes Erkan
RULEML
2004
Springer
14 years 1 months ago
Rule Learning for Feature Values Extraction from HTML Product Information Sheets
The Web is now a huge information repository with a rich semantic structure that, however, is primarily addressed to human understanding rather than automated processing by a compu...
Costin Badica, Amelia Badica
AINA
2008
IEEE
14 years 2 months ago
Associating Faces and Names in Japanese Photo News Articles on the Web
We propose a system which extracts faces and person names from news articles with photos on the Web and associates them automatically. The system detects face images in news photo...
Akio Kitahara, Taichi Joutou, Keiji Yanai