315 search results - page 5 / 63 » Text classification from positive and unlabeled documents |
FLAIRS
2004
13 years 10 months ago
2004
We illustrate that Web searches can often be utilized to generate background text for use with text classification. This is the case because there are frequently many pages on the...
IRAL
2003
ACM
14 years 1 months ago
2003
ACM
In this work, we propose a new method for extracting user preferences from a few documents that might interest users. For this end, we first extract candidate terms and choose a n...
EMNLP
2008
13 years 10 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...
AAAI
2004
13 years 10 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
IJCAI
2007
13 years 10 months ago
2007
Traditional classification involves building a classifier using labeled training examples from a set of predefined classes and then applying the classifier to classify test instan...