Entropy-Driven Dialog for Topic Classification: Detecting and Tackling Uncertainty

Serras, Manex; Pérez, Naiara; Torres, M. Inés; Pozo, Arantza del

doi:10.1007/978-981-10-2585-3_13

Cited by 4 publications

(1 citation statement)

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“…Interactive systems are an ongoing field of research, in particular such applications that face the challenges of real world users [4,7,18] and those that deal with adaptive and multi-modal systems. For the initial work on Roberta Ironside we have focused on building a basic dialogue system based on Ravenclaw and from there study more advanced issues in a systematic way.…”

Section: Introductionmentioning

confidence: 99%

LifeLine Dialogues with Roberta

López¹,

Ratni²,

Trọng³

et al. 2017

Lecture Notes in Computer Science

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This paper describes work on dialogue data collection and dialogue system design for personal assistant humanoid robots undertaken at eNTERFACE 2016. The emphasis has been on the system's speech capabilities and dialogue modeling of what we call LifeLine Dialogues, i.e. dialogues that help people tell stories about their lives. The main goal behind this type of application is to help elderly people exercise their speech and memory capabilities. The system further aims at acquiring a good level of knowledge about the person's interests and thus is expected to feature open-domain conversations, presenting useful and interesting information to the user. The novel contributions of this work are: (1) a flexible spoken dialogue system that extends the Ravenclawtype agent-based dialogue management model with topic management and multi-modal capabilities, especially with face recognition technologies, (2) a collection of WOZ-data related to initial encounters and presentation of information to the user, and (3) the establishment of a closer conversational relationship with the user by utilizing additional data (e.g. context, dialogue history, emotions, user goals, etc.).

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Section: Introductionmentioning

confidence: 99%