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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)
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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)
Abstract: Entity ranking is a novel TREC task introduced this year and posing challenges similar to those already well-known in web retrieval research community. We present a system which leverages a number of popular web retrieval techniques, utilizes existing knowledge bases and relies on various task-specific heuristics to produce high quality runs. Since we had no training queries with relevant web-pages contained in Category B part of ClueWeb09 collection, we focused on using various strategies rather than on using one kind of approach with different parameter settings. However, in three of four submitted runs we treated Wikipedia part of the collection as the main source of evidence about relevance of entities that can be found on the Web. ; Presented at the Text REtrieval Conference (TREC 2009, 18th) held in Gaithersburg, Maryland on 17-20 November 2009. Published in the Proceedings of the Text REtrieval Conference (TREC 2009, 18th), 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: *ENTITY TRACKING; *INFORMATION PROCESSING; *INFORMATION RETRIEVAL; *INTERNET; *KNOWLEDGE BASED SYSTEMS; *WIKIPEDIA; ANCHOR BASED ENTITY RANKING; CLUEWEB; Computer Programming and Software; Equipment and Methods; FOREIGN REPORTS; Information Science; INTERNET BROWSERS; INTERROGATION; Linguistics; NETHERLANDS; ONTOLOGY; REPRINTS; SEMANTICS; SOCIAL COMMUNICATION; SOURCES; SYMPOSIA; Test Facilities; TRAINING
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517713
http://www.dtic.mil/docs/citations/ADA517713
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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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