Matches in ScholarlyData for { <https://w3id.org/scholarlydata/inproceedings/lrec2008/papers/502> ?p ?o. }
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- 502 creator mark-hepple.
- 502 creator nick-webb.
- 502 creator ting-liu.
- 502 creator yorick-wilks.
- 502 type InProceedings.
- 502 label "Cross-Domain Dialogue Act Tagging".
- 502 sameAs 502.
- 502 abstract "We present recent work in the area of Cross-Domain Dialogue Act (DA) tagging. We have previously reported on the use of a simple dialogue act classifier based on purely intra-utterance features - principally involving word n-gram cue phrases automatically generated from a training corpus. Such a classifier performs surprisingly well, rivalling scores obtained using far more sophisticated language modelling techniques. In this paper, we apply these automatically extracted cues to a new annotated corpus, to determine the portability and generality of the cues we learn.".
- 502 hasAuthorList authorList.
- 502 hasTopic Linguistics.
- 502 isPartOf proceedings.
- 502 keyword "Acquisition, Machine Learning".
- 502 keyword "Corpus (creation, annotation, etc.)".
- 502 keyword "Dialogue & Natural Interactivity".
- 502 title "Cross-Domain Dialogue Act Tagging".