Creator | Title | Description | Subject | Date | ||
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1 |
![]() | Riloff, Ellen M. | Conundrums in noun phrase coreference resolution: making sense of the state-of-the-art | We aim to shed light on the state-of-the-art in NP coreference resolution by teasing apart the differences in the MUC and ACE task definitions, the assumptions made in evaluation methodologies, and inherent differences in text corpora. First, we examine three subproblems that play a role in coref... | Noun phrase; Coreference resolution; MUC; ACE | 2009 |
2 |
![]() | Riloff, Ellen M. | Corpus-based identification of non-anaphoric noun phrases | Coreference resolution involves finding antecedents for anaphoric discourse entities, such as definite noun phrases. But many definite noun phrases are not anaphoric because their meaning can be understood from general world knowledge (e.g., "the White House" or "the news media"). We have develope... | Corpus-based identification; Non-anaphoric noun phrases; Coreference resolution; MUC-4; Discourse entity; DE | 1999 |
3 |
![]() | Riloff, Ellen M. | Unsupervised learning of contextual role knowledge for coreference resolution | We present a coreference resolver called BABAR that uses contextual role knowledge to evaluate possible antecedents for an anaphor. BABAR uses information extraction patterns to identify contextual roles and creates four contextual role knowledge sources using unsupervised learning. These knowledge ... | Coreference resolution; Coreference resolver; BABAR; Contextual role knowledge; Unsupervised learning | 2004 |