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Hits 1 – 19 of 19

1
Lucene for n-grams using the ClueWeb Collection
In: DTIC (2009)
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2
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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3
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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4
Experiments on Related Entity Finding Track at TREC 2009
In: DTIC (2009)
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5
Comparing Evaluation Metrics for Sentence Boundary Detection
In: DTIC (2007)
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6
The Effect of Bilingual Term List Size on Dictionary-Based Cross-Language Information Retrieval
In: DTIC (2006)
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7
Cross-Document Coreference on a Large Scale Corpus
In: DTIC (2004)
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8
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
In: DTIC (2004)
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9
Spoken Dialogue for Simulation Control and Conversational Tutoring
In: DTIC (2004)
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10
Generic Sentence Fusion is an Ill-Defined Summarization Task
In: DTIC (2004)
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11
Development and Evaluation of a Korean Treebank and its Application to NLP
In: DTIC (2002)
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12
Automated Tutoring Dialogues for Training in Shipboard Damage Control
In: DTIC (2001)
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13
Preparing a Sublanguage Grammar
In: DTIC AND NTIS (1991)
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14
Augmented Role Filling Capabilities for Semantic Interpretation of Spoken Language
In: DTIC (1991)
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15
Adaptive Natural Language Processing
In: DTIC AND NTIS (1991)
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16
Coordinating Text and Graphics in Explanation Generation
In: DTIC (1989)
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17
Natural Language for Problem Solving Systems
In: DTIC AND NTIS (1989)
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18
A Contrast Between Computer and Human Language Understanding
In: DTIC AND NTIS (1988)
Abstract: This paper is a progress report of the natural language (NL) understanding portion of the Artificial Intelligence Measurement System (AIMS). The focus of the document is on the research plan and initial steps in relating human performance measures to NL implementations. The overall goal was to norm a given NL system's performance on a sample of people. To this end a test was created to capture the language functions of a target implementation but was set within the domain of the human population to be tested. The NL system used was IRUS (Bates, Stallard, & Moser, 1985), a syntactic shell interface available from a system test in a military environment. A syntactic analysis of the language IRUS could handle suggested that an initial human population for comparison should be very young children. This paper provides the first steps in the development of a test instrument that contains the syntactic structures of IRUS set within a very simple database, one consisting of animals, people, houses, their attributes and positions.
Keyword: *COMPUTER PROGRAMMING; *DATA BASES; *NATURAL LANGUAGE; *SYNTAX; AIMS(ARTIFICIAL INTELLIGENCE MEASUREMENT SYSTEM); ANIMALS; ARTIFICIAL INTELLIGENCE; CHILDREN; Computer Programming and Software; ENVIRONMENTS; FUNCTIONS; HUMANS; INSTRUMENTATION; INTERFACES; LANGUAGE; Linguistics; MEASUREMENT; MILITARY APPLICATIONS; NATURAL LANGUAGE; PE61153N; PERFORMANCE(HUMAN); PLANNING; POPULATION; RESEARCH MANAGEMENT; SHELLS(STRUCTURAL FORMS); STRUCTURES; SYNTAX; TEST EQUIPMENT; WU442022
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA232917
http://www.dtic.mil/docs/citations/ADA232917
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19
Operational Test and Evaluation of the Meter Engineering Development Model.
In: DTIC AND NTIS (1982)
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