TO
1 - 25 of 3
| Creator | Title | Description | Subject | Date | ||
|---|---|---|---|---|---|---|
| 1 |
 | Riloff, Ellen M. | Identifying sources of opinions with conditional random fields and extraction patterns | Recent systems have been developed for sentiment classification, opinion recognition, and opinion analysis (e.g., detecting polarity and strength). We pursue another aspect of opinion analysis: identifying the sources of opinions, emotions, and sentiments. We view this problem as an information ext... | Sentiment classification; Opinion recognition; Opinion analysis; Conditional random fields; AutoSlog; Sources of opinions | 2005 |
| 2 |
 | Riloff, Ellen M. | Empirical study of automated dictionary construction for information extraction in three domains | A primary goal of natural language processing researchers is to develop a knowledge-based natural language processing (NLP) system that is portable across domains. However, most knowledge-based NLP systems rely on a domain-specific dictionary of concepts, which represents a substantial knowledge-en... | Information extraction; AutoSlog; Across domains | 1996 |
| 3 |
 | Riloff, Ellen M. | Automatically constructing a dictionary for information extraction tasks | Knowledge-based natural language processing systems have achieved good success with certain tasks but they are often criticized because they depend on a domain-specific dictionary that requires a great deal of manual knowledge engineering. This knowledge engineering bottleneck makes knowledge-based ... | Information extraction; Dictionary construction; Knowledge-based systems; AutoSlog; Domain-specific dictionary | 1993 |
1 - 25 of 3