Papers about Lexical formulation

Social dialogue can be used by an embodied interface agent both to satisfy "interpersonal" goals, such as building rapport with the user and demonstrating the expertise of the agent, and to directly or indirectly satisfy task goals, such as acquiring background information about the user. We describe the ongoing development of an embodied conversational agent that is capable of multimodal input understanding and output generation and operates in a limited application domain in which both... Read more

The design of embodied conversational agents puts many demands on system architecture. Therefore, we describe a conversational framework expressed as a list of conversational properties and abilities and then demonstrate how it can lead to a set of architectural design constraints. We describe an architecture that meets the constraints, and an implementation of the architecture that therefore exhibits many of the properties and abilities required for real-time natural conversation. We are currently developing an embodied conversational... Read more

People are narrative animals. As children, our caretakers immerse us in stories: fairy tales, made-up stories, favorite stories, "Read me a story!" Even when barely verbal, we begin to tell our own proto-stories. "Phoebe! Pizza! Phoebe! Pizza!" was the excited story of a 2-year-old friend Addie when one of us happened to arrive simultaneously with the pizza delivery man. This story means, approximately, "Can you believe it? Phoebe and pizza came into the house at... Read more

In this paper, we introduce a conversational agent which is applied to the food-ordering dialog system. It uses VenusDictate as speech recognition front-end, then understands the semantics of the input sentence by extracting the keywords of the sentence, finally it interacts with the user by speech. The experimental results show that the performance of this agent is good in this application domain. Read more

We are studying how to create believable agents that perform actions and use natural language in interactive, animated, real-time worlds. Believable agents are autonomous agents that have specific, rich personalities like characters in movies and animation. We have extended Hap, the behavior-based architecture used by the Oz group to construct non-linguistic believable agents, to support natural language text generation. These extensions allow us to tightly integrate text generationwith other aspects of the agent, including action, perception,... Read more

The programming language, Prolog, was born of a project aimed not at producing a programming language but at processing natural languages; in this case, French. The project gave rise to a preliminary version of Prolog at the end of 1971 and a more definitive version at the end of 1972. This article gives the history of this project and describes in detail the preliminary and then the final versions of Prolog. The authors also felt it... Read more

ELIZA is a program operating within the MAC time-sharing system at MIT which makes certain kinds of natural language conversation between man and computer possible. Input sentences are analyzed on the basis of decomposition rules which are triggered by key words appearing in the input text. Responses are generated by reassembly rules associated with selected decomposition rules. The fundamental technical problems with which ELIZA is concerned are: (1) the identification of key words, (2) the... Read more