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ICDS
2010
IEEE
14 years 21 days ago
Towards Learning Domain Ontology from Legacy Documents
—Learning ontology from text is a challenge in knowledge engineering research and practice. Learning relations between concepts is even more difficult work. However, when conside...
Yijian Wu, Shaolei Zhang, Wenyun Zhao
EMNLP
2008
13 years 8 months ago
Learning Graph Walk Based Similarity Measures for Parsed Text
We consider a parsed text corpus as an instance of a labelled directed graph, where nodes represent words and weighted directed edges represent the syntactic relations between the...
Einat Minkov, William W. Cohen
ASUNAM
2010
IEEE
13 years 9 months ago
Semi-Supervised Classification of Network Data Using Very Few Labels
The goal of semi-supervised learning (SSL) methods is to reduce the amount of labeled training data required by learning from both labeled and unlabeled instances. Macskassy and Pr...
Frank Lin, William W. Cohen
ACL
2011
12 years 11 months ago
Can Document Selection Help Semi-supervised Learning? A Case Study On Event Extraction
Annotating training data for event extraction is tedious and labor-intensive. Most current event extraction tasks rely on hundreds of annotated documents, but this is often not en...
Shasha Liao, Ralph Grishman
KDD
2007
ACM
209views Data Mining» more  KDD 2007»
14 years 7 months ago
Temporal causal modeling with graphical granger methods
The need for mining causality, beyond mere statistical correlations, for real world problems has been recognized widely. Many of these applications naturally involve temporal data...
Andrew Arnold, Yan Liu, Naoki Abe