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Hits 1 – 9 of 9

1	Chinese Microblog Topic Detection through POS-Based Semantic Expansion
	Lianhong Ding; Bin Sun; Peng Shi
	In: Information ; Volume 9 ; Issue 8 (2018)
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2	CEA LIST's participation at the CLEF CHiC 2013
	Popescu, A.
	In: 2013 Cross Language Evaluation Forum Conference, CLEF 2013 ; https://hal-cea.archives-ouvertes.fr/cea-01844707 ; 2013 Cross Language Evaluation Forum Conference, CLEF 2013, Sep 2013, Valencia, Spain (2013)
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3	The effects of expansions, questions and cloze procedures on children's conversational skills
	Wong, Tze-Peng; Foster-Cohen, Susan H.; Moran, Catherine
	In: Clinical linguistics & phonetics. - London : Informa Healthcare 26 (2012) 3, 273-287
	BLLDB
	OLC Linguistik
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4	Topic-driven document summarization using ontology knowledge
	Swaika, Sonu. - : uga, 2010
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5	UTDallas at TREC 2008 Blog Track
	Li, Bin; Liu, Feifan; Liu, Yang
	In: DTIC (2008)
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6	Universidad Carlos III de Madrid
	Sara Lana-serrano; José C. González-cristóbal
	In: http://clef.isti.cnr.it/2009/working_notes/Lana-paperCLEF2009_MIRACLE_ImageCLEFmed2009.pdf
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7	MIRACLE-GSI at ImageCLEFphoto 2009: Comparing Clustering vs. Classification for Result Reranking
	Julio Villena-román; Sara Lana-serrano; José C. González-cristóbal
	In: http://clef.isti.cnr.it/2009/working_notes/Villena-paperCLEF2009_MIRACLE_ImageCLEFphoto2009.pdf
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8	MIRACLE-GSI at ImageCLEFphoto 2008: Experiments on Semantic and Statistical Topic Expansion
	Julio Villena-román; Sara Lana-serrano; José C. González-cristóbal
	In: http://clef.isti.cnr.it/2008/working_notes/Villena1-paperCLEF2008_MIRACLE_ImageCLEFphoto2008.pdf
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9	MIRACLE at ImageCLEFmed 2008: Evaluating Strategies for Automatic Topic Expansion
	Sara Lana-serrano; Julio Villena-román; José C. González-cristóbal
	In: http://clef.isti.cnr.it/2008/working_notes/Lana1-paperCLEF2008_MIRACLE_ImageCLEFmed2008.pdf
	Abstract: This paper describes the participation of MIRACLE research consortium at the ImageCLEFmed task of ImageCLEF 2008. The main goal of our participation this year is to compare among different topic expansion approaches: methods based on linguistic information such as thesauri or knowledge bases, and statistical techniques based on term frequency. Thus we focused on runs using text features only. First a common baseline algorithm was used in all experiments to process the document collection: text extraction, medical-vocabulary recognition, tokenization, conversion to lowercase, filtering, stemming and indexing and retrieval. Then this baseline algorithm is combined with different expansion techniques. For the semantic expansion, the MeSH concept hierarchy using UMLS entities as basic root elements was used. The statistical method consisted of expanding the topics using the apriori algorithm. Relevance-feedback techniques were also used.
	Keyword: 2008; Categories and Subject Descriptors H.3 [Information Storage and Retrieval; CLEF; E.2 [Data Storage Representations]. Keywords Image retrieval; H.2.5 Heterogeneous Databases; H.3.1 Content Analysis and Indexing; H.3.2 Information Storage; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software; H.3.7 Digital libraries. H.2 [Database Management; ImageCLEF; ImageCLEF Medical Retrieval Task; indexing; information retrieval; linguistic engineering; medical domain-specific vocabulary; relevance feedback; thesaurus; topic expansion
	URL: http://clef.isti.cnr.it/2008/working_notes/Lana1-paperCLEF2008_MIRACLE_ImageCLEFmed2008.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.587.9039
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