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1
Discourse in Multimedia: A Case Study in Extracting Geometry Knowledge from Textbooks
In: Computational Linguistics, Vol 45, Iss 4, Pp 627-665 (2020) (2020)
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2
Discourse in Multimedia: A Case Study in Information Extraction ...
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3
The Multilingual Semantic Web (Dagstuhl Seminar 12362)
Buitelaar, Paul; Choi, Key-Sun; Cimiano, Philipp. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2013. : Dagstuhl Reports. Dagstuhl Reports, Volume 2, Issue 9, 2013
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The Multilingual Semantic Web (Dagstuhl Seminar 12362) ...
Buitelaar, Paul; Choi, Key-Sun; Cimiano, Philipp. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik GmbH, Wadern/Saarbruecken, Germany, 2013
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5
Natural Language Processing by the Penman Project at USC/ISI
In: DTIC AND NTIS (1993)
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6
Automated Discourse Generation Using Discourse Structure Relations
In: DTIC AND NTIS (1993)
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7
Automated Discourse Generation Using Discourse Structure Relations
In: DTIC AND NTIS (1993)
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8
Natural Language Generation
In: DTIC AND NTIS (1992)
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9
Approximating an Interlingua in a Principled Way
In: DTIC AND NTIS (1992)
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10
Parsimonious or Profligate: How Many and Which Discourse Structure Relations?
In: DTIC AND NTIS (1992)
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11
Natural Language Generation
In: DTIC AND NTIS (1991)
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12
Good Applications for Crummy Machine Translation
In: DTIC AND NTIS (1991)
Abstract: We have recently begun work in machine translation and felt that it would probably make sense to start by surveying the literature on evaluation. As we read more and more on evaluation, we found that the success of an evaluation often depends very strongly on the selection of an appropriate application. If the application is well-chosen, then it often becomes fairly clear how the system should be evaluated. Moreover, the evaluation is likely to make the system look good. Conversely, if the application is not clearly identified (or worse, if the application is poorly-chosen), then it is often very difficult to find a satisfying evaluation paradigm. We begin our discussion with a brief review of some evaluation metrics that have been tried in the past and conclude that it is difficult to identify a satisfying evaluation paradigm that will make sense over all possible applications. It is probably wise to identify the application first, and then we will be in a much better position to address evaluation questions. The discussion will then turn to the main point, a discussion of how to pick a good niche application for state-of-the-art (crummy) machine translation. Machine translation, Evaluation, Niche application, ALPAC Report, Multilingual computational linguistics.
Keyword: *MACHINE TRANSLATION; COMPUTATIONAL LINGUISTICS; Linguistics; MACHINES; PROBLEM SOLVING; SELECTION; STATE OF THE ART; SYSTEMS APPROACH; TRANSLATIONS; WORK STATIONS
URL: http://www.dtic.mil/docs/citations/ADA269768
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA269768
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13
Performing Integrated Syntactic and Semantic Parsing Using Classification
In: DTIC (1990)
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14
Research in Knowledge Delivery
In: DTIC AND NTIS (1990)
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15
Approaches to the Planning of Coherent Text
In: DTIC AND NTIS (1989)
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16
Research in Knowledge Delivery
In: DTIC AND NTIS (1989)
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17
Generating Natural Language Under Pragmatic Constraints.
In: DTIC AND NTIS (1987)
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