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» Easily Identifiable Discourse Relations
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NLE
2008
108views more  NLE 2008»
13 years 9 months ago
Using automatically labelled examples to classify rhetorical relations: an assessment
Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using ...
Caroline Sporleder, Alex Lascarides
IVA
2007
Springer
14 years 3 months ago
T2D: Generating Dialogues Between Virtual Agents Automatically from Text
The Text2Dialogue (T2D) system that we are developing allows digital content creators to generate attractive multi-modal dialogues presented by two virtual agents—by simply provi...
Paul Piwek, Hugo Hernault, Helmut Prendinger, Mits...
ACL
2001
13 years 11 months ago
Towards Automatic Classification of Discourse Elements in Essays
Educators are interested in essay evaluation systems that include feedback about writing features that can facilitate the essay revision process. For instance, if the thesis state...
Jill Burstein, Daniel Marcu, Slava Andreyev, Marti...
IVS
2006
131views more  IVS 2006»
13 years 9 months ago
Understanding the dynamics of collaborative multi-party discourse
In this paper, we discuss the efforts underway at the Pacific Northwest National Laboratory in understanding the dynamics of multi-party discourse across a number of communication...
Andrew J. Cowell, Michelle L. Gregory, Joe Bruce, ...
CHI
2009
ACM
14 years 10 months ago
Three environmental discourses in human-computer interaction
A review of the past decade of human-computer interaction relating to environmental issues identifies three discourses whose commitments and assumptions have consequences for the ...
Elizabeth Goodman