Talking about what we think we see: natural language processing for a real-time virtual environment

Gurney, John; Klipple, E.; Voss, Clare R.

doi:10.1109/ijsis.1996.565086

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…We are working on a uniform treatment to cover both cases. Another line of work we have pursued is a virtual realitynatural language interface (Gurney, Klipple, and Voss 1996). We plan to combine that work with our context updating work.…”

Section: Discussionmentioning

confidence: 99%

Interpreting Presuppositions Using Active Logic: From Contexts to Utterances

Gurney

Perlis

Purang

1997

Computational Intelligence

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Presupposition is a pervasive feature of human language. It involves many interesting interactions between the utterances of a discourse and the context of the discourse. In this paper we focus on issues of logical form connected with the interaction of presupposition and discourse context, and illustrate our theory with some implementational work using the active logic framework. After reviewing some of the major issues in presupposition theory we turn to a largely successful unified approach of Heim. We show how the main principles of this theory can be implemented in active logic. But we also find two serious difficulties. These consist in (a) a straightforward counterexample and (b) a type of discourse that we call a garden-path discourse. We maintain that both the counterexample and the garden-path type of discourse can be handled by our active-logic version of Heim's theory. This requires us to reformulate and extend Heim's theorey. Although this work is largely theoretical, both Heim's theory and ours have important things to say about the incremental processing of the utterances that make up discourse. And we present our theory as a specification of a processing device that takes logical form of a sentence along with current discourse context as input and delivers an updated discourse context as output. As an experiment, we have implemented portions of this device.

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Section: Discussionmentioning

confidence: 99%

Interpreting Presuppositions Using Active Logic: From Contexts to Utterances

Gurney

Perlis

Purang

1997

Computational Intelligence

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“…These issues span both generation and understanding of spatial language. There exists a large literature on spatial language, starting several decades ago (Talmy, 1983;Anderson et al, 1991;Gurney et al, 1996;Bloom et al, 1996;Olivier and Gapp, 1998) inter alia. This work yielded linguistic insights into the underlying structure of spatial expressions, that has led more recently to annotation efforts like SpaceML (Morarescu, 2006) and spatial role labeling (Kordjamshidi et al, 2010).…”

Section: Related Workmentioning

confidence: 99%

Joint Navigation in Commander/Robot Teams: Dialog and Task Performance When Vision is Bandwidth-Limited

Summers-Stay¹,

Cassidy²,

Voss³

2014

Proceedings of the Third Workshop on Vision and Language

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The prospect of human commanders teaming with mobile robots "smart enough" to undertake joint exploratory tasks-especially tasks that neither commander nor robot could perform alone-requires novel methods of preparing and testing human-robot teams for these ventures prior to real-time operations. In this paper, we report work-in-progress that maintains face validity of selected configurations of resources and people, as would be available in emergency circumstances. More specifically, from an off-site post, we ask human commanders (C) to perform an exploratory task in collaboration with a remotely located human robot-navigator (Rn) who controls the navigation of, but cannot see the physical robot (R). We impose network bandwidth restrictions in two mission scenarios comparable to real circumstances by varying the availability of sensor, image, and video signals to Rn, in effect limiting the human Rn to function as an automation stand-in. To better understand the capabilities and language required in such configurations, we constructed multi-modal corpora of time-synced dialog, video, and LIDAR files recorded during task sessions. We can now examine commander/robot dialogs while replaying what C and Rn saw, to assess their task performance under these varied conditions. This work is licenced under a Creative Commons Attribution 4.0 International License. Page numbers and proceedings footer are added by the organizers. License details: http://creativecommons.org/licenses/by/4.0/

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Talking about what we think we see: natural language processing for a real-time virtual environment

Cited by 2 publications

References 17 publications

Interpreting Presuppositions Using Active Logic: From Contexts to Utterances

Interpreting Presuppositions Using Active Logic: From Contexts to Utterances

Joint Navigation in Commander/Robot Teams: Dialog and Task Performance When Vision is Bandwidth-Limited

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