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1
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
In: DTIC (2009)
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2
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
In: DTIC (2009)
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3
BIT at TREC 2009 Faceted Blog Distillation Task
In: DTIC (2009)
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4
POSTECH at TREC 2009 Blog Track: Top Stories Identification
In: DTIC (2009)
Abstract: This paper describes our participation in the TREC 2009 Blog Track. Our system consists of the query likelihood component and the news headline prior component, based on the language model framework. For the query likelihood, we propose several approaches to estimate the query language model and the news headline language model. We also suggest two approaches to choose the 10 supporting relevant posts: Feed-Based Selection and Cluster-Based Selection. Furthermore, we propose two criteria to estimate the news headline prior for a given day. Experimental results show that using the prior significantly improves the performance of the task. ; 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: *BLOGS(INTERNET); *CLUSTERING; *HEADLINES(JOURNALISM); *INFORMATION RETRIEVAL; *INFORMATION SCIENCES; *INTERNET; *WEB(INTERNET); BLOG TRACK COMPUTER PROGRAM; CLUSTER BASED SELECTION; Computer Programming and Software; Equipment and Methods; ESTIMATES; FOREIGN REPORTS; Information Science; INTERNET BROWSERS; LANGUAGE; Linguistics; MODELS; NATURAL LANGUAGE; QUERIES(INFORMATION RETRIEVAL); REPRINTS; SOCIAL COMMUNICATION; SOUTH KOREA; SYMPOSIA; Test Facilities
URL: http://www.dtic.mil/docs/citations/ADA517740
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA517740
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5
Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
In: DTIC (2009)
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6
PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
In: DTIC (2009)
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7
Experiments on Related Entity Finding Track at TREC 2009
In: DTIC (2009)
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8
THUIR at TREC 2009 Web Track: Finding Relevant and Diverse Results for Large Scale Web Search
In: DTIC (2009)
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9
Sparse Information Extraction: Unsupervised Language Models to the Rescue
In: DTIC (2007)
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10
Mitre's Qanda at TREC-11
In: DTIC (2006)
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11
A GH-Based Ontology to Support Applications for Automating Decision Support
In: DTIC (2005)
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12
Semantic Decomposition of Bitmap Images Using CHREST
In: DTIC AND NTIS (2005)
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13
A Semantic Interface to Scenario Component Reuse in DOD Simulation Systems
In: DTIC AND NTIS (2001)
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14
Algorithms That Learn to Extract Information BBN: Description of the Sift System as Used for MUC-7
In: DTIC (1998)
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15
Building Effective Queries in Natural Language Information Retrieval
In: DTIC (1997)
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16
SIMS: Single Interface to Multiple Sources
In: DTIC (1996)
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17
Development and Preliminary Evaluation of the MIT ATIS System
In: DTIC (1991)
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18
Natural Language Processing of Captions for Retrieving Multimedia Data
In: DTIC AND NTIS (1991)
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19
ARMTRAK; A Domain for the Unified Study of Natural Language, Planning, and Active Vision
In: DTIC AND NTIS (1990)
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20
The Implementation of a Multi-Lingual Database System - Multi-Backend Database System Interface.
In: DTIC AND NTIS (1986)
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