220 search results - page 6 / 44 » Learning to Classify Text from Labeled and Unlabeled Documen... |
KDD
2009
ACM
15 years 10 months ago
2009
ACM
Labeling text data is quite time-consuming but essential for automatic text classification. Especially, manually creating multiple labels for each document may become impractical ...
IJCNLP
2004
Springer
15 years 2 months ago
2004
Springer
Multi-document discourse analysis has emerged with the potential of improving various NLP applications. Based on the newly proposed Cross-document Structure Theory (CST), this pap...
ICML
2002
IEEE
15 years 10 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
EMNLP
2008
14 years 11 months ago
2008
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
NAACL
2010
14 years 7 months ago
2010
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...