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1
Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
In: DTIC (2013)
Abstract: Lexical Link Analysis (LLA) is a form of text mining in which word meanings are represented in lexical terms (e.g., word pairs) of a word network. In the past, we have shown how LLA can systematically and automatically discover new patterns in large-scale defense acquisition data on multiple programs as indicators for program or investment performances. We also started to apply LLA to understand the quality of the data by comparing categories of information and detecting data gaps. Last year, we examined the Acquisition Visibility Portal (AVP), which is a critical tool that provides the DoD-wide acquisition community with authoritative and accurate data services. We reported the first program from AVP to have undergone a relatively comprehensive LLA analysis. This year, we found that there is much consensus or consistency in the various categories (e.g., acquisition and engineering communities) of artifacts, yet gaps or low correlations seem to characterize the majority of the data for the relations among these categories. LLA, however, is able to discover in detail where the gaps and inconsistencies in the data reside. The findings offered in this report can help decision-makers improve their resource and big data management to better understand how particular acquisition strategies may affect the desired return on investment (ROI) among projects. ; Acquisition Research Program Sponsored Report Series.
Keyword: *ACQUISITION DATA; *ACQUISITION VISIBILITY PORTAL; *AUTOMATION; *DATA MINING; *DOCUMENTS; *INTERNET; *LEXICAL LINK ANALYSIS; *LINKAGES; *MILITARY PROCUREMENT; *SEMANTICS; *TEXT MINING; ACCURACY; APB(ACQUISITION PROGRAM BASELINE); ARTIFACTS; ASR(ACQUISITION STRATEGY REPORTS); CONSISTENCY; CORRELATION; Cybernetics; DAES(DEFENSE ACQUISITION EXECUTIVE SUMMARIES); DATA ACCURACY; DATA GAPS; DATA INCONSISTENCIES; DATA MANAGEMENT; DATA QUALITY; DEPARTMENT OF DEFENSE; INFORMATION RETRIEVAL; Information Science; LEARNING MACHINES; Linguistics; Logistics; MILESTONE B ACQUISITION DECISION MEMORANDUM; Military Facilities and Supplies; QUALITY; SAR(SELECTED ACQUISITION REPORTS); SEMANTIC NETWORKS; SEP(SYSTEMS ENGINEERING PLANS); TEMP(TEST AND EVALUATION MASTER PLANS); TRA(TECHNOLOGY READINESS ASSESSMENT); UNSTRUCTURED DATA; WORDS(LANGUAGE)
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA591734
http://www.dtic.mil/docs/citations/ADA591734
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2
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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3
A Journey in Entity Related Retrieval for TREC 2009
In: DTIC (2009)
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4
Lucene for n-grams using the ClueWeb Collection
In: DTIC (2009)
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5
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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6
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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7
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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8
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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9
Novel Topic Impact on Authorship Attribution
In: DTIC (2009)
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10
Experiments on Related Entity Finding Track at TREC 2009
In: DTIC (2009)
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11
Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
In: DTIC (2009)
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12
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
In: DTIC (2007)
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13
Techniques for Automatically Generating Biographical Summaries from News Articles
In: DTIC (2007)
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14
Effectively Using Syntax for Recognizing False Entailment
In: DTIC (2006)
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15
Stochastic Language Generation in a Dialogue System: Toward a Domain Independent Generator
In: DTIC (2004)
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16
Development and Evaluation of a Korean Treebank and its Application to NLP
In: DTIC (2002)
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17
NTCIR CLIR Experiments at the University of Maryland
In: DTIC (2000)
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18
The Bible, Truth, and Multilingual OCR Evaluation
In: DTIC (1998)
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19
NLP Track at TREC-5
In: DTIC (1996)
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20
Focus of Tipster Phases I and 2
In: DTIC (1996)
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