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Dialog Goes Pervasive Until recently, many dialog

By Amanda J. Stent


systems were information retrieval systems. For example, using a telephone-based interactive response system a US-based user can find flights from United (1-800-UNITED-1), get movie schedules (1-800-777-FILM), or get bus information (Black et al., 2011). These systems save companies money and help users access information 24/7. However, the interaction between user and system is tightly constrained. For the most part, each system only deals with one domain, so the task models are typically flat slot-filling models (Allen et al., 2001b). Also, the dialogs are very structured, with system initiative and short user responses, giving limited scope to study important phenomena such as coreference. Smart phones and other mobile devices make possible pervasive human-computer spoken dialog. For example, the Vlingo system lets users do web searches (information retrieval), but also connects calls, opens other apps, and permits voice dictation of emails or social media updates 1. Siri can also help users make reservations and schedule meetings 2. These new dialog systems are different from traditional ones in several ways; they are multi-task, asynchronous, can involve rich context modeling, and have side effects in the “real world”: Multi-task – The system interacts with the user to accomplish a series of (possibly related) tasks. For example, a user might use the system to order a book and then say schedule it for book club- a different task (e.g. requiring different backend DB lookups) but related to the previous one by the book informa-1 www.vlingo.co

Year: 2013
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