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1
RMIT University at TREC 2009: Web Track
In: DTIC (2009)
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2
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
In: DTIC (2009)
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3
Recognizing Connotative Meaning in Military Chat Communications
In: DTIC (2009)
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4
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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5
A Journey in Entity Related Retrieval for TREC 2009
In: DTIC (2009)
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6
ICTNET at Web Track 2009 Diversity task
In: DTIC (2009)
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7
Lucene for n-grams using the ClueWeb Collection
In: DTIC (2009)
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8
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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9
Sparse Matrix Factorization: Applications to Latent Semantic Indexing
In: DTIC (2009)
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10
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
In: DTIC (2009)
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11
Semantic Search
In: DTIC (2009)
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12
Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
In: DTIC (2009)
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13
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
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14
Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
In: DTIC (2009)
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15
University of Padua at TREC 2009: Relevance Feedback Track
In: DTIC (2009)
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16
Related Entity Finding Based on Co-Occurrence
In: DTIC (2009)
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17
Result Diversity and Entity Ranking Experiments: Anchors, Links, Text and Wikipedia
In: DTIC (2009)
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18
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
Abstract: This paper describes BUPT (pris) participation in Relevance Feedback Track 2009. The track has two phrases. In the first phrase, 5 documents are submitted based on the results of the k-means. In the second phrase, language model is used to relevance feedback for query expansion. ; 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).
Keyword: *INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *QUERIES(INFORMATION RETRIEVAL); *RELEVANCE(INFORMATION RETRIEVAL); BUPT(BEIJING UNIVERISTY OF POSTS AND TELECOMMUNICATION); CHINA; CLUSTERING; Computer Programming and Software; Equipment and Methods; FEEDBACK; FOREIGN REPORTS; Information Science; INTERNET BROWSERS; K-MEANS; LANGUAGE; Linguistics; MODELS; PRIS(PATTERN RECOGNITION AND INTELLIGENT SYSTEMS); REPRINTS; RF(RELEVANCE FEEDBACK); SOCIAL COMMUNICATION; SYMPOSIA; Test Facilities
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517722
http://www.dtic.mil/docs/citations/ADA517722
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19
A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track
In: DTIC (2009)
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20
Formulating Simple Structured Queries using Temporal and Distributional Cues in Patents
In: DTIC (2009)
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