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Science and Technology Text Mining: Origins of Database Tomography and Multi-Word Phrase Clustering
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In: DTIC AND NTIS (2003)
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Science and Technology Text Mining: Comparative Analysis of the Research Impact Assessment Literature and the Journal of the American Chemical Society
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In: DTIC AND NTIS (2003)
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The FGDC Feature Registry and its Role in Supporting Semantic Interoperability
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In: DTIC AND NTIS (1998)
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A Contrast Between Computer and Human Language Understanding
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In: DTIC AND NTIS (1988)
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The Rate of Progress in Natural Language Processing
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In: DTIC (1987)
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Abstract:
The rate of progress in natural language processing has been disappointing to many, including myself. It is not just that the popular press has had overblown expectations, but that we at this meeting have. The consequences of these errors could be severe. Hopefully, this short note will give an accurate evaluation of our rate of progress, identify what some of the problems have been, and present some reasonable suggestions on what can be done to improve the situation. Given that we want to take our ideas down the chain from theoretical research to empirical study and beyond and that natural language is an extremely difficult task, how can we proceed? There is only one answer: work within our current limits. Let's treat our work as that of successive approximations. Let us forget about the unexplored problems for the time being. Let us see what we can really do with the proposals we have that seem to work. Basically, let us emphasize building systems and full-scale components for a while. For example, why don't a group of us take the best parser, the best semantic interpreter, the best generator, the best inference system, etc., and tie them together? Then let's pick a domain of discourse and make them work for more than a few sentences. Let's beat on them until they work for as much of language as they appear capable. While we are at it, let's make the system as fast, as robust, as portable, as maintainable, etc., as we possibly can. Similarly, let's beat on individual components in the same way. I know there is no guarantee this approach will produce a useful system or component. But even if we fail to produce something worth going further with, we will have learned a lot about what works and what doesn't. If those results are not allowed to be lost, the next effort can do better. Of course, a problem with this approach lies in the source of our funds. ; Presented at the 1987 Workshop on Theoretical Issues in Natural Language Processing, held in Las Cruces, NM on 7-9 January 1987. Pub. in the Proceedings of the 1987 Workshop on Theoretical Issues in Natural Language Processing, 1987. Sponsored in part by DARPA.
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Keyword:
*COMPUTATIONAL LINGUISTICS; *DATA BASES; *INFORMATION PROCESSING; *NATURAL LANGUAGE; *NATURAL LANGUAGE PROCESSING; *SYSTEMS ENGINEERING; APPROXIMATION(MATHEMATICS); COMPUTER APPLICATIONS; Cybernetics; Information Science; INFORMATION THEORY; INTERFACES; Linguistics; MACHINE TRANSLATION; PARSERS; PLANNING; RESEARCH MANAGEMENT; SEMANTICS; SYMPOSIA; SYSTEMS ANALYSIS; TINLAP(THEORETICAL ISSUES IN NATURAL LANGUAGE PROCESSING)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA460356
http://www.dtic.mil/docs/citations/ADA460356
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The Rand Strategy Assessment Center System Perspective
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In: DTIC AND NTIS (1984)
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A Proposed Military Planning Task Simulator Using ROSS Language.
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In: DTIC AND NTIS (1983)
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Utility of Lasswell Value Analysis in Automated Behavioral Intelligence (ABI). Revision 1.
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In: DTIC AND NTIS (1980)
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| 9 |
Independent Research and Independent Exploratory Development
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In: DTIC AND NTIS (1973)
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SELECTION OF MILITARY PERSONNEL FOR FOREIGN LANGUAGE TRAINING
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In: DTIC AND NTIS (1968)
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FACT CORRELATION FOR INTELLIGENCE ANALYSIS. VOLUME 1. APPLIED RESEARCH PLAN
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In: DTIC (1962)
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