Deep-reasoning-centred Dialogue
نویسندگان
چکیده
This paper discusses an implemented dialogue system which generates the meanings of utterances by taking into account: the surface mood of the user’s last utterance; the meanings of all the user’s utterances from the current discourse; the system’s expert knowledge; and the system’s beliefs about the current situation arising from the discourse (including its beliefs about the user and her beliefs, and its beliefs about what is ‘common knowledge’). The system formulates the content of its responses by employing an epistemic theorem prover to do deep reasoning. During the reasoning process, it remembers the proof tree it constructs, and from this derives the meaning of an explanatory response.
منابع مشابه
Generating Effective Responses for a Plan-based Dialogue System in Human-robot Interaction
A high-level dialogue system involves symbolic reasoning and deep understanding of user input, and its object is to handle complex dialogue phenomena such as inference and negotiation. However, it is difficult for high-level dialogue techniques to be extended toward a practical dialogue system that must generate effective responses in a real environment because the high-level dialogue technique...
متن کاملLearning to Interpret Utterances Using Dialogue History
We describe a methodology for learning a disambiguation model for deep pragmatic interpretations in the context of situated task-oriented dialogue. The system accumulates training examples for ambiguity resolution by tracking the fates of alternative interpretations across dialogue, including subsequent clarificatory episodes initiated by the system itself. We illustrate with a case study build...
متن کاملRobust interpretation in the HIGGINS spoken dialogue system
This paper describes PICKERING, the semantic interpreter developed in the HIGGINS project – a research project on error handling in spoken dialogue systems. In the project, the initial efforts are centred on the input side of the system. The semantic interpreter combines a rich set of robustness techniques with the production of deep semantic structures. It allows insertions and non-agreement i...
متن کاملIncremental Construction of Robust but Deep Semantic Representations for Use in Responsive Dialogue Systems
It is widely acknowledged that current dialogue systems are held back by a lack of flexibility, both in their turn-taking model (typically, allowing only a strict back-and-forth between user and system) and in their interpretation capabilities (typically, restricted to slot filling). We have developed a component for NLU that attempts to address both of these challenges, by a) constructing robu...
متن کاملTitle : Rimac : A Natural - language Dialogue System that Engages Students in Deep Reasoning
Title Page Not included in page count. Abstract Body Limit 5 pages single spaced.
متن کامل