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EMNLP
2009
13 years 5 months ago
It's Not You, it's Me: Detecting Flirting and its Misperception in Speed-Dates
Automatically detecting human social intentions from spoken conversation is an important task for dialogue understanding. Since the social intentions of the speaker may differ fro...
Rajesh Ranganath, Dan Jurafsky, Dan McFarland
ROMAN
2007
IEEE
124views Robotics» more  ROMAN 2007»
14 years 1 months ago
A Spoken Dialogue System for Electronic Program Guide Information Access
Abstract—In this paper, we present POSTECH Spoken Dialogue System for Electronic Program Guide Information Access (POSSDS-EPG). POSSDS-EPG consists of automatic speech recognizer...
Seokhwan Kim, Cheongjae Lee, Sangkeun Jung, Gary G...
ACL
1992
13 years 8 months ago
The Representation of Multimodal User Interface Dialogues Using Discourse Pegs
The three-tiered discourse representation defined in (Luperfoy, 1991) is applied to multimodal humancomputer interface (HCI) dialogues. In the applied system the three tiers are (...
Susann LuperFoy
ACL
2010
13 years 5 months ago
Learning to Adapt to Unknown Users: Referring Expression Generation in Spoken Dialogue Systems
We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
Srinivasan Janarthanam, Oliver Lemon
LREC
2010
123views Education» more  LREC 2010»
13 years 9 months ago
Examining the Effects of Rephrasing User Input on Two Mobile Spoken Language Systems
In this work we investigate the effects of rephrasing the user's input on two mobile spoken dialogue systems. We argue that for specific kinds of applications it's impor...
Nikos Tsourakis, Agnes Lisowska, Manny Rayner, Pie...