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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Riloff, Ellen M. | Bootstrapping for text learning tasks | When applying text learning algorithms to complex tasks, it is tedious and expensive to hand-label the large amounts of training data necessary for good performance. This paper presents bootstrapping as an alternative approach to learning from large sets of labeled data. Instead of a large quantity ... | Bootstrapping; Text learning algorithms; Seed information | 1999 |
| 2 |
 | Riloff, Ellen M. | Learning subjective nouns using extraction pattern bootstrapping | We explore the idea of creating a subjectivity classifier that uses lists of subjective nouns learned by bootstrapping algorithms. The goal of our research is to develop a system that can distinguish subjective sentences from objective sentences. First, we use two bootstrapping algorithms that explo... | Subjective nouns; Bootstrapping; Extraction patterns; Subjectivity classifier; Naive Bayes classifier | 2003 |
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