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A Hybrid Approach to Clinical Question Answering
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In: DTIC (2014)
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| 2 |
Towards a Simple and Efficient Web Search Framework
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In: DTIC (2014)
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| 4 |
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014
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In: DTIC (2014)
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| 5 |
Modelling Psychological Needs for User-dependent Contextual Suggestion
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In: DTIC (2014)
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| 6 |
Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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| 7 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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| 8 |
QUT Para at TREC 2012 Web Track: Word Associations for Retrieving Web Documents
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In: DTIC (2012)
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Abstract:
Many existing information retrieval models do not explicitly take into account information about word associations. Our approach makes use of first and second order relationships found in natural language, known as syntagmatic and paradigmatic associations, respectively. This is achieved by using a formal model of word meaning within the query expansion process. On ad hoc retrieval, our approach achieves statistically significant improvements in MAP (0.158) and P at 20 (0.396) over our baseline model. The ERR at 20 and nDCG at 20 of our system was 0.249 and 0.192 respectively. Our results and discussion suggest that information about both syntagamtic and paradigmatic associations can assist with improving retrieval effectiveness on ad hoc retrieval. ; Presented at the Twenty-First Text REtrieval Conference (TREC 2012) held in Gaithersburg, Maryland, November 6-9, 2012. 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). U.S. Government or Federal Rights License
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Keyword:
*INFORMATION RETRIEVAL; AUSTRALIA; DOCUMENTS; FOREIGN REPORTS; Information Science; INTERNET; Linguistics; NATURAL LANGUAGE; SYMPOSIA; WORD ASSOCIATIONS; WORDS(LANGUAGE)
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA581300
http://www.dtic.mil/docs/citations/ADA581300
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| 9 |
Adding a Capability to Extract Sentiment from Text Using HanDles
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In: DTIC (2012)
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| 10 |
Speaker Clustering for a Mixture of Singing and Reading (Preprint)
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In: DTIC (2012)
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| 11 |
Horizontal Integration of Warfighter Intelligence Data: A Shared Semantic Resource for the Intelligence Community
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In: DTIC (2012)
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| 12 |
SAWUS: Siena's Automatic Wikipedia Update System
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In: DTIC (2012)
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| 13 |
CSSG: Learning within NLP Pipelines for Scalable Data Mining and Information Extraction
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In: DTIC (2011)
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| 14 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 15 |
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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| 16 |
Enhancing a Web Crawler with Arabic Search Capability
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In: DTIC (2010)
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| 17 |
Extrinsic Evaluation of Automated Information Extraction Programs
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In: DTIC (2010)
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| 19 |
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
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In: DTIC (2009)
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| 20 |
Relevance Feedback based on Constrained Clustering: FDU at TREC 09
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In: DTIC (2009)
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