PentoRef: A Corpus of Spoken References in Task-oriented Dialogues (bibtex)
by Sina ZarrieB, Julian Hough, Casey Kennington, Ramesh Manuvinakurike, David DeVault, Raquel Fernández, David Schlangen
Abstract:
PentoRef is a corpus of task-oriented dialogues collected in systematically manipulated settings. The corpus is multilingual, with English and German sections, and overall comprises more than 20000 utterances. The dialogues are fully transcribed and annotated with referring expressions mapped to objects in corresponding visual scenes, which makes the corpus a rich resource for research on spoken referring expressions in generation and resolution. The corpus includes several sub-corpora that correspond to different dialogue situations where parameters related to interactivity, visual access, and verbal channel have been manipulated in systematic ways. The corpus thus lends itself to very targeted studies of reference in spontaneous dialogue.
Reference:
PentoRef: A Corpus of Spoken References in Task-oriented Dialogues (Sina ZarrieB, Julian Hough, Casey Kennington, Ramesh Manuvinakurike, David DeVault, Raquel Fernández, David Schlangen), In 10th edition of the Language Resources and Evaluation Conference, ELRA, 2016.
Bibtex Entry:
@inproceedings{zarrieb_pentoref:_2016,
	address = {Portorož, Slovenia},
	title = {{PentoRef}: {A} {Corpus} of {Spoken} {References} in {Task}-oriented {Dialogues}},
	url = {http://www.lrec-conf.org/proceedings/lrec2016/pdf/563_Paper.pdf},
	abstract = {PentoRef is a corpus of task-oriented dialogues collected in systematically manipulated settings. The corpus is multilingual, with English and German sections, and overall comprises more than 20000 utterances. The dialogues are fully transcribed and annotated with referring expressions mapped to objects in corresponding visual scenes, which makes the corpus a rich resource for research on spoken referring expressions in generation and resolution. The corpus includes several sub-corpora that correspond to different dialogue situations where parameters related to interactivity, visual access, and verbal channel have been manipulated in systematic ways. The corpus thus lends itself to very targeted studies of reference in spontaneous dialogue.},
	booktitle = {10th edition of the {Language} {Resources} and {Evaluation} {Conference}},
	publisher = {ELRA},
	author = {ZarrieB, Sina and Hough, Julian and Kennington, Casey and Manuvinakurike, Ramesh and DeVault, David and Fernández, Raquel and Schlangen, David},
	month = may,
	year = {2016},
	keywords = {Virtual Humans}
}
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