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1
Making Semantic Information Work Effectively for Degraded Environments
In: DTIC (2013)
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2
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
In: DTIC (2013)
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3
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
In: DTIC (2012)
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4
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
In: DTIC (2012)
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5
SAWUS: Siena's Automatic Wikipedia Update System
In: DTIC (2012)
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6
Entity List Completion Using Set Expansion Techniques
In: DTIC (2011)
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7
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
In: DTIC (2010)
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8
RMIT University at TREC 2009: Web Track
In: DTIC (2009)
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9
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
In: DTIC (2009)
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10
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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11
A Journey in Entity Related Retrieval for TREC 2009
In: DTIC (2009)
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12
ICTNET at Web Track 2009 Diversity task
In: DTIC (2009)
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13
Lucene for n-grams using the ClueWeb Collection
In: DTIC (2009)
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14
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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15
Sparse Matrix Factorization: Applications to Latent Semantic Indexing
In: DTIC (2009)
Abstract: This article describes the use of Latent Semantic Indexing (LSI) and some of its variants for the TREC Legal batch task. Both folding-in and Essential Dimensions of LSI (EDLSI) appeared as if they might be successful for recall-focused retrieval on a collection of this size. Furthermore, we developed a new LSI technique, one which replaces the Singular Value Decomposition (SVD) with another technique for matrix factorization, the sparse column-row approximation (SCRA). We were able to conclude that all three LSI techniques have similar performance. Although our 2009 results showed significant improvement when compared to our 2008 results, the use of a better method for selection of the parameter K, which is the ranking that results in the best balance between precision and recall, appears to have provided the most benefit. ; Proceedings of the Eighteenth Text REtrieval Conference (TREC 2009) held in Gaithersburg, Maryland, November 17-20, 2009. The conference was co-sponsored by the National Institute of Standards and Technology (NIST) the Defense Advanced Research Projects Agency (DARPA) and the Advanced Research and Development Activity (ARDA). The original document contains color images.
Keyword: *INFORMATION RETRIEVAL; *LSI(LATENT SEMANTIC INDEXING); *SUBJECT INDEXING; BATCH PROCESSING; BOOLEAN ALGEBRA; CANADA; COLLECTION; DOCUMENTS; ESSENTIAL DIMENSIONS; Information Science; Linguistics; PARAMETERS; PRECISION; RECALL; SCRA(SPARSE COLUMN-ROW APPROXIMATION); SPARSE MATRIX; SVD(SINGULAR VALUE DECOMPOSITION); SYMPOSIA
URL: http://www.dtic.mil/docs/citations/ADA517770
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517770
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16
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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17
Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
In: DTIC (2009)
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18
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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19
Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
In: DTIC (2009)
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20
University of Padua at TREC 2009: Relevance Feedback Track
In: DTIC (2009)
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