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Neural Methods Towards Concept Discovery from Text via Knowledge Transfer
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In: http://rave.ohiolink.edu/etdc/view?acc_num=osu1572387318988274 (2019)
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| 2 |
The Impact of Name-Matching and Blocking on Author Disambiguation
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In: Proceedings of the 27th ACM Conference on Information and Knowledge Management ; 803-812 ; ACM International Conference on Information and Knowledge Management (CIKM) "From Big Data and Big Information to Big Knowledge" ; 27 (2018)
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Principles of content analysis for information retrieval systems: an overview
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In: Text analysis and computers ; 1 ; ZUMA-Nachrichten Spezial ; 76-99 ; Text Analysis and Computers Conference (2017)
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| 4 |
A Hybrid Approach to Clinical Question Answering
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In: DTIC (2014)
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| 5 |
Towards a Simple and Efficient Web Search Framework
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In: DTIC (2014)
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| 7 |
Distributed Non-Parametric Representations for Vital Filtering: UW at TREC KBA 2014
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In: DTIC (2014)
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| 8 |
Modelling Psychological Needs for User-dependent Contextual Suggestion
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In: DTIC (2014)
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| 9 |
Using a Bayesian Model to Combine LDA Features with Crowdsourced Responses
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In: DTIC (2013)
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| 10 |
Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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In: DTIC (2013)
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| 11 |
Making Semantic Information Work Effectively for Degraded Environments
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In: DTIC (2013)
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| 12 |
Accelerating Exploitation of Low-grade Intelligence through Semantic Text Processing of Social Media
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In: DTIC (2013)
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| 13 |
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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| 14 |
Adding a Capability to Extract Sentiment from Text Using HanDles
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In: DTIC (2012)
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| 15 |
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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| 16 |
SAWUS: Siena's Automatic Wikipedia Update System
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In: DTIC (2012)
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| 17 |
CSSG: Learning within NLP Pipelines for Scalable Data Mining and Information Extraction
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In: DTIC (2011)
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| 18 |
Entity List Completion Using Set Expansion Techniques
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In: DTIC (2011)
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| 19 |
Related Entity Finding: University of Waterloo at TREC 2010 Entity Track
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In: DTIC (2010)
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| 20 |
Analysis of Discourse Accent and Discursive Practices I&W
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In: DTIC (2010)
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