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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Riloff, Ellen M. | Automatically generating extraction patterns from untagged text | Many corpus-based natural language processing systems rely on text corpora that have been manually annotated with syntactic or semantic tags. In particular, all previous dictionary construction systems for information extraction have used an annotated training corpus or some form of annotated input... | Information extraction; Automatically generating; Extraction patterns; Untagged text; Corpus-based; AutoSlog-TS; AutoSlog system; MUC-4; Dictionary construction | 1996 |
| 2 |
 | Riloff, Ellen M. | Learning dictionaries for information extraction by multi-level bootstrapping | Information extraction systems usually require two dictionaries: a semantic lexicon and a dictionary of extraction patterns for the domain. We present a multilevel bootstrapping algorithm that generates both the semantic lexicon and extraction patterns simultaneously. As input, our technique requir... | Information extraction; Extraction patterns; Multi-level bootstrapping; Learning dictionaries | 1999 |
| 3 |
 | Riloff, Ellen M. | Learning extraction patterns for subjective expressions | This paper presents a bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions. High-precision classifiers label unannotated data to automatically create a large training set, which is then given to an extraction pattern learning algorithm. T... | Bootstrapping process; Extraction patterns; Subjective expressions; Opinions | 2003 |
| 4 |
 | 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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