Natural language processing for transparent communication between public administration and citizens
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Artificial Intelligence and Law 8 (1):1-34 (2000)
This paper presents two projects concerned with the application of natural language processing technology for improving communication between Public Administration and citizens. The first project, GIST,is concerned with automatic multilingual generation of instructional texts for form-filling. The second project, TAMIC, aims at providing an interface for interactive access to information, centered on natural language processing and supposed to be used by the clerk but with the active participation of the citizen.
|Keywords||dialogue systems multilingual NL generation natural language processing public administration|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
No citations found.
Similar books and articles
Bryan Renne (2008). Public and Private Communication Are Different: Results on Relative Expressivity. Synthese 165 (2):225 - 245.
Martin J. Pickering & Simon Garrod (2004). Toward a Mechanistic Psychology of Dialogue. Behavioral and Brain Sciences 27 (2):169-190.
Jocelyne Bourgon (2011). A New Synthesis of Public Administration: Serving in the 21st Century. School of Policy Studies, Queen's University.
Chris Westbury (2002). Blind Men, Elephants, and Dancing Information Processors. Behavioral and Brain Sciences 25 (5):645-646.
Gilbert Harman (1975). Language, Thought, and Communication. Minnesota Studies in the Philosophy of Science 7:270-298.
Syed S. Ali & Stuart C. Shapiro (1993). Natural Language Processing Using a Propositional Semantic Network with Structured Variables. Minds and Machines 3 (4):421-451.
Daniel Jurafsky & James H. Martin (2000). Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition. Prentice Hall.
Jan van Bakel (1984). Automatic Semantic Interpretation: A Computer Model of Understanding Natural Language. Foris Publications.
Martha Stone Palmer (2006). Semantic Processing for Finite Domains. Cambridge University Press.
Added to index2009-01-28
Total downloads13 ( #194,523 of 1,726,249 )
Recent downloads (6 months)5 ( #147,227 of 1,726,249 )
How can I increase my downloads?