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ICIA
2007
15 years 9 months ago
Eye Gaze for Attention Prediction in Multimodal Human-Machine Conversation
In a conversational system, determining a user’s focus of attention is crucial to the success of the system. Motivated by previous psycholinguistic findings, we are currently e...
Zahar Prasov, Joyce Yue Chai, Hogyeong Jeong
ECAI
2008
Springer
15 years 8 months ago
Salience-driven Contextual Priming of Speech Recognition for Human-Robot Interaction
Abstract. The paper presents an implemented model for priming speech recognition, using contextual information about salient entities. The underlying hypothesis is that, in human-r...
Pierre Lison, Geert-Jan M. Kruijff
LREC
2008
132views Education» more  LREC 2008»
15 years 8 months ago
From Human Communication to Intelligent User Interfaces: Corpora of Spoken Estonian
We argue for the necessity of studying human-human spoken conversations of various kinds in order to create user interfaces to databases. An efficient user interface benefits from...
Tiit Hennoste, Olga Gerassimenko, Riina Kasterpalu...
ACL
1998
15 years 8 months ago
Characterizing and Recognizing Spoken Corrections in Human-Computer Dialogue
Miscommunication in speech recognition systems is unavoidable, but a detailed characterization of user corrections will enable speech systems to identify when a correction is taki...
Gina-Anne Levow
NAACL
1994
15 years 8 months ago
Predicting and Managing Spoken Disfluencies During Human-Computer Interaction
This research characterizes the spontaneous spoken disfluencies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were c...
Sharon L. Oviatt