Version: 1.0
Release date: 2011-09-11
Maintainer: Christopher Potts
The Cards Corpus of collaborative task-oriented dialogues was collected at various time in 2008, 2010, and 2011 as part of the SUBTLE project.
Version 1.0 consists of 744 transcripts, in CSV format (transcripts/).
Also included are Python classes for working with the data (cards.py), some illustrative examples of how to use the classes, and some basic code for reading the corpus in to R as a single data frame and working with it (cards.R).
For additional information about the corpus, see the slideshow potts-rochester2011-slides.pdf, which is a talk that Potts delivered at the University of Rochester Center for Language Sciences on 2011-09-13.
Djalali, Alex; Sven Lauer; and Christopher Potts. 2011. Corpus evidence for preference-driven interpretation. Pre-proceedings of the 18th Amsterdam Colloquium. University of Amsterdam.
@inproceedings{Djalali:Lauer:Potts:2011,
Address = {Amsterdam},
Author = {Djalali, Alex and Lauer, Sven and Potts, Christopher},
Booktitle = {Pre-Proceedings of the 18th Amsterdam Colloquium},
Month = {December},
Publisher = {University of Amsterdam},
Title = {Corpus Evidence for Preference-Driven Interpretation},
Year = {2011}}
Djalali, Alex; David Clausen; Sven Lauer; Karl Schultz; and Christopher Potts. 2011. Modeling expert effects and common ground using Questions Under Discussion. Proceedings of the AAAI Workshop on Building Representations of Common Ground with Intelligent Agents. Washington, DC: Association for the Advancement of Artificial Intelligence.
@inproceedings{Djalali-etal:2011,
Address = {Washington, DC},
Author = {Djalali, Alex and Clausen, David and Lauer, Sven and Schultz, Karl and Potts, Christopher},
Booktitle = {Proceedings of the {AAAI} Workshop on Building Representations of Common Ground with Intelligent Agents},
Month = {November},
Publisher = {Association for the Advancement of Artificial Intelligence},
Title = {Modeling Expert Effects and Common Ground Using {Q}uestions {U}nder {D}iscussion},
Year = {2011}}
This research was supported in part by ONR grant No. N00014-10-1-0109 and ARO grant No. W911NF-07-1-0216. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of ONR or ARO.
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