Proactive Natural Language Processing: Addressing Terminology Disparity and Team Coalescence (bibtex)
by Davis, Dan M, Rosenberg, Milton and Davis, Mark C
Abstract:
There is a continuing need for battlefield simulations and virtual humans. Most recently, the authors have been focused on the creation of virtual conversation environments to leverage the mentoring skills of selected individuals by creating large libraries of short video clips of advice which are then presented to the user in response to their questions. In these endeavors two issues have arisen; the inconsistency of the definitions used and the need to ameliorate the impacts of short-tour intervals on team formation. This paper will address both of these issues, review existing research, document some early research into these impediments, and discuss the similarities of these issues to those faced by the standards community writ large. They will cite and review the work of Professor Bruce Tuckman: Forming, Storming, Norming, and Performing. The benefits of using virtual humans to enhance these processes are outlined. The need for and design of proactive Natural Language Processing-enabled virtual humans and computer agents is set forth and analyzed. The paper will lay out the research goals, identify the semantic differences, and report on the potential impacts of those differences. In its totality, this paper intends to demonstrate that, in addition to the need to evangelize about the necessity of standards, this community has a lot to contribute to researchers, developers, and implementers faced with destructive differences in terminology, understanding and practice. All of this data and analysis will be presented in a way that should make sure that the insights garnered therefrom are accessible by members of this and other communities and they can be implemented and modified, as is most effective. Future advances now in development are discussed, along with the utility of these new capabilities and approaches.
Reference:
Proactive Natural Language Processing: Addressing Terminology Disparity and Team Coalescence (Davis, Dan M, Rosenberg, Milton and Davis, Mark C), In SISO Simulation Innovation Workshop, 2020.
Bibtex Entry:
@article{davis_proactive_2020,
	title = {Proactive {Natural} {Language} {Processing}: {Addressing} {Terminology} {Disparity} and {Team} {Coalescence}},
	url = {https://www.sisostds.org/Default.aspx?tabid=105&EntryId=51197},
	abstract = {There is a continuing need for battlefield simulations and virtual humans. Most recently, the authors have been focused on the creation of virtual conversation environments to leverage the mentoring skills of selected individuals by creating large libraries of short video clips of advice which are then presented to the user in response to their questions. In these endeavors two issues have arisen; the inconsistency of the definitions used and the need to ameliorate the impacts of short-tour intervals on team formation. This paper will address both of these issues, review existing research, document some early research into these impediments, and discuss the similarities of these issues to those faced by the standards community writ large. They will cite and review the work of Professor Bruce Tuckman: Forming, Storming, Norming, and Performing. The benefits of using virtual humans to enhance these processes are outlined. The need for and design of proactive Natural Language Processing-enabled virtual humans and computer agents is set forth and analyzed. The paper will lay out the research goals, identify the semantic differences, and report on the potential impacts of those differences. In its totality, this paper intends to demonstrate that, in addition to the need to evangelize about the necessity of standards, this community has a lot to contribute to researchers, developers, and implementers faced with destructive differences in terminology, understanding and practice. All of this data and analysis will be presented in a way that should make sure that the insights garnered therefrom are accessible by members of this and other communities and they can be implemented and modified, as is most effective. Future advances now in development are discussed, along with the utility of these new capabilities and approaches.},
	number = {2020\_SIW\_39},
	journal = {SISO Simulation Innovation Workshop},
	author = {Davis, Dan M and Rosenberg, Milton and Davis, Mark C},
	month = apr,
	year = {2020},
	keywords = {Learning Sciences, UARC},
	pages = {11}
}
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