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Computerized analysis of coronary artery disease: Performance evaluation of segmentation and tracking of coronary arteries in CT angiograms
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| 2 |
Engagement Guide: Department of Defense University Affiliated Research Centers (UARCs)
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In: DTIC (2013)
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Initial MLU Predicts the Relative Efficacy of Two Grammatical Treatments in Preschoolers With Specific Language Impairments
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In: Center for Brain, Biology and Behavior: Papers & Publications (2011)
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A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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| 6 |
A Journey in Entity Related Retrieval for TREC 2009
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In: DTIC (2009)
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| 8 |
Lucene for n-grams using the ClueWeb Collection
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In: DTIC (2009)
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| 9 |
BIT at TREC 2009 Faceted Blog Distillation Task
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In: DTIC (2009)
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| 10 |
IRRA at TREC 2009: Index Term Weighting based on Divergence From Independence Model
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In: DTIC (2009)
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| 11 |
Delft University at the TREC 2009 Entity Track: Ranking Wikipedia Entities
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In: DTIC (2009)
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| 12 |
POSTECH at TREC 2009 Blog Track: Top Stories Identification
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In: DTIC (2009)
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| 13 |
Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
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In: DTIC (2009)
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| 14 |
Result Diversity and Entity Ranking Experiments: Anchors, Links, Text and Wikipedia
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In: DTIC (2009)
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| 15 |
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
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In: DTIC (2009)
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| 16 |
A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track
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In: DTIC (2009)
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| 17 |
Experiments on Related Entity Finding Track at TREC 2009
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In: DTIC (2009)
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| 18 |
PARADISE Based Search Engine at TREC 2009 Web Track
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In: DTIC (2009)
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Abstract:
In this paper, we introduce the PARADISE search engine in TREC09 Web track. PARADISE is the abbreviation for Platform for Applying, Research and Developing Intelligent Search Engine, which is a search engine platform developed by SEWM group, Peking University. The system is designed to support both English and Chinese information retrieval. This system preprocessed and indexed the five hundred million web pages for this year's Web Track. In the preprocessing stage, the templates were removed, the encoding were identified and unified, and the anchor texts and InLink information are extracted with the mapreduce framework (using Hadoop in this system). In retrieval, our runs used an extension of BM25. This model distinguishes terms from different fields and integrated both term counts and position information. Furthermore, some web based features are also considered. ; 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).
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Keyword:
*INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *PARADISE SEARCH ENGINE; *SEARCH ENGINES(INTERNET); *TEXTBOOKS; *WEB(INTERNET); ANCHOR TEXTS; CHINA; Computer Programming and Software; Equipment and Methods; FOREIGN REPORTS; HADOOP COMPUTER PROGRAM; Information Science; INLINK COMPUTER PROGRAM; INTERNET BROWSERS; Linguistics; PARADISE(PLATFORM FOR APPLYING RESEARCH AND DEVELOPING INTELLIGENT SEARCH ENGINES); PLATFORMS; POSITION(LOCATION); PREPROCESSING; REPRINTS; SEARCHING; SOCIAL COMMUNICATION; SYMPOSIA; TEMPLATES; Test Facilities; TEXT PROCESSING
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URL: http://www.dtic.mil/docs/citations/ADA517729
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517729
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| 19 |
Microsoft Research at TREC 2009. Web and Relevance Feedback Tracks
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In: DTIC (2009)
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| 20 |
FEUP at TREC 2009 Blog Track: Temporal Evidence in the Faceted Blog Distillation Task
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In: DTIC (2009)
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