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| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Riloff, Ellen M. | Feature subsumption for opinion analysis | Lexical features are key to many approaches to sentiment analysis and opinion detection. A variety of representations have been used, including single words, multi-word Ngrams, phrases, and lexicosyntactic patterns. In this paper, we use a subsumption hierarchy to formally define different types o... | Feature subsumption; Sentiment analysis; Opinion detection; Subsumption hierarchy | 2006 |
| 2 |
 | Riloff, Ellen M. | Learning domain-specific information extraction patterns from the web | Many information extraction (IE) systems rely on manually annotated training data to learn patterns or rules for extracting information about events. Manually annotating data is expensive, however, and a new data set must be annotated for each domain. So most IE training sets are relatively small. C... | Information extraction; Domain-specific; Annotated training sets; MUC-4 | 2006 |
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