Ellen Riloff

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Ellen Riloff is a person.



References

2012

2009

2005

  • (Choi et al., 2005) ⇒ Yejin Choi, Claire Cardie, Ellen Riloff, and Siddharth Patwardhan. (2005). “Identifying Sources of Opinions with Conditional Random Fields and Extraction Patterns.” In: Proceedings of the Human Language Technology Conference/Conference on Empirical Methods in Natural Language Processing (HLT-EMNLP 2005).
    • ABSTRACT: 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 extraction task and adopt a hybrid approach that combines Conditional Random Fields (Lafferty et al., 2001) and a variation of AutoSlog (Riloff, 1996a). While CRFs model source identification as a sequence tagging task, AutoSlog learns extraction patterns. Our results show that the combination of these two methods performs better than either one alone. The resulting system identifies opinion sources with 79.3% precision and 59.5% recall using a head noun matching measure, and 81.2% precision and 60.6% recall using an overlap measure.

2003

2002

1999

1998

  • (Riloff, 1998) ⇒ Ellen Riloff, and M. Schmelzenbach. (1998). “An Empirical Approach to Conceptual Case Frame Acquisition.” In: Proceedings of the Sixth Workshop on Very Large Corpora.

1997

  • (Riloff, 1997) ⇒ Ellen Riloff, and J. Shepherd. (1997). “A Corpus-based Approach for Building Semantic Lexicons.” In: Proceedings of the Second Conference on Empirical Methods in Natural Language Processing.

1996

  • (Riloff, 1996) ⇒ Ellen Riloff. (1996). “Automatically Generating Extraction Patterns from Untagged Text.” In: Proceedings of the Thirteenth National Conference on Artificial Intelligence.

1993

1991

  • (Lehnert et al., 1991) ⇒ Wendy Lehnert, Claire Cardie, David Fisher, Ellen Riloff, and Robert Williams. (1991). “Description of the CIRCUS System as Used for MUC-3.” In: Proceedings, Third Message Understanding Conference (MUC-3).