A Context-dependent Algorithm for Generating Locative Expressions in Physically Situated Environments
نویسندگان
چکیده
This paper presents a framework for generating locative expressions. The framework addresses the issue of combinatorial explosion inherent in the construction of relational context models by: (a) contextually defining the set of objects in the context that may function as a landmark, and (b) sequencing the order in which spatial relations are considered using a cognitively motivated hierarchy of relations.
منابع مشابه
Incremental Generation of Spatial Referring Expressions in Situated Dialog
This paper presents an approach to incrementally generating locative expressions. It addresses the issue of combinatorial explosion inherent in the construction of relational context models by: (a) contextually defining the set of objects in the context that may function as a landmark, and (b) sequencing the order in which spatial relations are considered using a cognitively motivated hierarchy...
متن کاملAutomated Planning for Situated Natural Language Generation
We present a natural language generation approach which models, exploits, and manipulates the non-linguistic context in situated communication, using techniques from AI planning. We show how to generate instructions which deliberately guide the hearer to a location that is convenient for the generation of simple referring expressions, and how to generate referring expressions with context-depen...
متن کاملSituated Resolution and Generation of Spatial Referring Expressions for Robotic Assistants
In this paper we present an approach to the task of generating and resolving referring expressions (REs) for conversational mobile robots. It is based on a spatial knowledge base encompassing both robotand human-centric representations. Existing algorithms for the generation of referring expressions (GRE) try to find a description that uniquely identifies the referent with respect to other enti...
متن کاملA Situated Context Model for Resolution and Generation of Referring Expressions
The background for this paper is the aim to build robotic assistants that can “naturally” interact with humans. One prerequisite for this is that the robot can correctly identify objects or places a user refers to, and produce comprehensible references itself. As robots typically act in environments that are larger than what is immediately perceivable, the problem arises how to identify the app...
متن کاملA context-dependent model of proximity in physically situated environments
The paper presents a computational model for a context-dependent analysis of a physical environment in terms of spatial proximity. The model provides a basis for grounding linguistic analyses of spatial expressions in visual perception. The model uses potential fields to model spatial proximity. It has been implemented, and when combined with a handcrafted grammar, is used to enable a conversat...
متن کامل