Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/384> ?p ?o. }
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- 384 creator andrew-hickl.
- 384 creator kirk-roberts.
- 384 type InProceedings.
- 384 label "Scaling Answer Type Detection to Large Hierarchies".
- 384 sameAs 384.
- 384 abstract "This paper describes the creation of a state-of-the-art answer type detection system capable of recognizing more than 200 different expected answer types with greater than 85% precision and recall. After describing how we constructed a new, multi-tiered answer type hierarchy from the set of entity types recognized by Language Computer Corporation s CICEROLITE named entity recognition system, we describe how we used this hierarchy to annotate a new corpus of more than 10,000 English factoid questions. We show how an answer type detection system trained on this corpus can be used to enhance the accuracy of a state-of-the-art question-answering system (Hickl et al., 2007; Hickl et al., 2006b) by more than 7% overall.".
- 384 hasAuthorList authorList.
- 384 hasTopic Linguistics.
- 384 isPartOf proceedings.
- 384 keyword "Corpus (creation, annotation, etc.)".
- 384 keyword "Document Classification, Text categorisation".
- 384 keyword "Question Answering".
- 384 title "Scaling Answer Type Detection to Large Hierarchies".