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Správce souborů v přirozeném jazyce
Janíček, Miroslav ; Bojar, Ondřej (advisor) ; Klimeš, Václav (referee)
In this work we present NLSH, a file manager for UNIX-like operating systems with user interface in written natural language. NLSH is a context-aware dialogue system capable of basic anaphora resolution; it uses currently-available tools for automatic conversion of sentences in Czech language to tectogrammatical dependency trees based on the framework of Functional Generative Description. The dependency trees are then interpreted using a formal querying language based on propositional logic. We describe the design, architecture and limitations of the whole system as well as of the interpretation mechanismand querying language.
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Kontinuální plánování pro zajištění vzájemného porozumění v situovaném dialogu
Janíček, Miroslav ; Kruijffová, Ivana (advisor) ; Hajičová, Eva (referee)
The work investigates the problem of grounding-adding to common ground - in situated human-robot dialogues. Common ground, a special kind of mutual understanding among dialogue parties, is essential for any joint activity and as such is central to any interaction. In our approach, we treat dialogue just as a part of a wider collaborative activity, extending Thomason et al.'s approach to dialogue modelling based on abductive reasoning. Our system performs abduction over agents' (i.e. dialogue participants) beliefs, similarly as in the related field of multi-agent planning. We define beliefs as relational structures that are assigned a modal-logical semantics and show how common ground is achieved and maintained using these structures. Finally, we present an implementation of the system in a cognitive architecture of a robot in a scenario where the robot learns a correct model of a visual scene in a collaboration with a human tutor.
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Správce souborů v přirozeném jazyce
Janíček, Miroslav ; Klimeš, Václav (referee) ; Bojar, Ondřej (advisor)
In this work we present NLSH, a file manager for UNIX-like operating systems with user interface in written natural language. NLSH is a context-aware dialogue system capable of basic anaphora resolution; it uses currently-available tools for automatic conversion of sentences in Czech language to tectogrammatical dependency trees based on the framework of Functional Generative Description. The dependency trees are then interpreted using a formal querying language based on propositional logic. We describe the design, architecture and limitations of the whole system as well as of the interpretation mechanismand querying language.
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Kontinuální plánování pro zajištění vzájemného porozumění v situovaném dialogu
Janíček, Miroslav ; Hajičová, Eva (referee) ; Kruijffová, Ivana (advisor)
The work investigates the problem of grounding-adding to common ground - in situated human-robot dialogues. Common ground, a special kind of mutual understanding among dialogue parties, is essential for any joint activity and as such is central to any interaction. In our approach, we treat dialogue just as a part of a wider collaborative activity, extending Thomason et al.'s approach to dialogue modelling based on abductive reasoning. Our system performs abduction over agents' (i.e. dialogue participants) beliefs, similarly as in the related field of multi-agent planning. We define beliefs as relational structures that are assigned a modal-logical semantics and show how common ground is achieved and maintained using these structures. Finally, we present an implementation of the system in a cognitive architecture of a robot in a scenario where the robot learns a correct model of a visual scene in a collaboration with a human tutor.
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