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Hits 1 – 20 of 27

1	Die germanistische Linguistik als Fachwissenschaft in der Lehramtsausbildung ...
	Sayatz, Ulrike; Schäfer, Roland. - : Schneider-Verlag Hohengehren, 2019
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2	Die germanistische Linguistik als Fachwissenschaft in der Lehramtsausbildung
	Sayatz, Ulrike; Schäfer, Roland
	In: Didaktik Deutsch : Halbjahresschrift für die Didaktik der deutschen Sprache und Literatur 24 (2019) 46, S. 19-24 (2019)
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3	The Social Model of Translation and Its Application to Internet Search Engines Specialized in Health: The ASEM Search Engine for Neuromuscular Diseases
	Miquel-Vergés, Joan; Sánchez-Trigo, Elena
	In: Meta: Translators' Journal ; 55 ; 2 ; 374-386 (2017)
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4	Evidence of Pragmatic Impairments in Speech and Proverb Interpretation in Schizophrenia.
	Haas, MH; Chance, SA; Cram, DF...
	In: Symplectic Elements at Oxford ; Europe PubMed Central ; PubMed (http://www.ncbi.nlm.nih.gov/pubmed/) ; Scopus (http://www.scopus.com/home.url) ; CrossRef ; ORA review team (2015)
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5	Das frühneuzeitliche Japan in der Medien- und Literaturgeschichte: zur Erweiterung der gesellschaftstheoretischen Perspektive Niklas Luhmanns
	Morikawa, Takemitsu
	In: 01/2011 ; Workingpaper des Soziologischen Seminars ; 19 (2014)
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6	Towards a pragmatics of weblogs
	Yus Ramos, Francisco
	In: Quaderns de Filologia - Estudis Lingüístics; Vol. 12 (2007): PRAGMÁTICA, DISCURSO Y SOCIEDAD; 15-33 ; 2444-1449 ; 1135-416X (2014)
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7	Integración conceptual y modos de inferencia
	Ruiz de Mendoza Ibáñez, Francisco José
	In: Quaderns de Filologia - Estudis Lingüístics; Vol. 14 (2009): NUEVAS PERSPECTIVAS EN LINGÜÍSTICA COGNITIVA; 193-219 ; 2444-1449 ; 1135-416X (2014)
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8	A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track
	Zhai, Haijun; Cheng, Xueqi; Guo, Jiafeng...
	In: DTIC (2009)
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9	Relevance Feedback based on Constrained Clustering: FDU at TREC 09
	Wang, Bingqing; Huang, Xuanjing
	In: DTIC (2009)
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10	ICTNET at Web Track 2009 Diversity task
	Bi, Wenjing; Yu, Xiaoming; Liu, Yue...
	In: DTIC (2009)
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11	BIT at TREC 2009 Faceted Blog Distillation Task
	Jiang, Peng; Yang, Qing; Zhang, Chunxia...
	In: DTIC (2009)
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12	The Use of a Context-Based Information Retrieval Technique
	Parsons, Kathryn; McCormac, Agata; Butavicius, Marcus...
	In: DTIC (2009)
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13	Entity Retrieval by Hierarchical Relevance Model, Exploiting the Structure of Tables and Learning Homepage Classifiers
	Fang, Yi; Si, Luo; Yu, Zhengtao...
	In: DTIC (2009)
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14	PRIS at 2009 Relevance Feedback track: Experiments in Language Model for Relevance Feedback
	Li, Si; Li, Xinsheng; Zhang, Hao...
	In: DTIC (2009)
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15	A Study of Faceted Blog Distillation -- PRIS at TREC 2009 Blog Track
	Li, Si; Gao, Huiji; Gao, Juiji...
	In: DTIC (2009)
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16	Microsoft Research at TREC 2009. Web and Relevance Feedback Tracks
	Craswell, Nick; Fetterly, Dennis; Najork, Marc...
	In: DTIC (2009)
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17	Facet Classification of Blogs: Know-Center at the TREC 2009 Blog Distillation Task
	Lex, Elisabeth; Granitzer, Michael; Juffinger, Andreas
	In: DTIC (2009)
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18	New Metrics for Blog Mining
	Ulicny, Brian; Baclawski, Ken; Magnus, Amy
	In: DTIC (2007)
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19	Aspects of Sentence Retrieval
	Murdock, Vanessa G.
	In: DTIC (2006)
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20	UMass Robust 2005: Using Mixtures of Relevance Models for Query Expansion
	Metzler, Donald; Diaz, Fernando; Strohman, Trevor; Croft, W. B.
	In: DTIC (2005)
	Abstract: This paper describes the UMass TREC 2005 Robust Track experiments. For the 2005 Robust Track, we explore whether or not term proximity information and advanced pseudo- relevance feedback methods can be used to achieve good effectiveness on a challenging query set. All experiments used the Indri search engine indexed the full AQUAINT collection of 1,033,461 documents, used a Porter Stemmer and a stopword list of 418 common terms. All runs are automatic. We use Metzler's dependence model formulation to exploit term proximity information, which been shown to significantly improve effectiveness over simple bag of words models. The Indri query language can be used to express dependence model queries. Results indicate that both term proximity and pseudo-relevance are highly effective. ; Sponsored in part by DARPA and the National Science Foundation Grants nos. CNS-0454018, IIS-0527159, and CCF-0205575. Presented at the Text REtrieval Conference (14th), TREC2005, held in Gaithersburg, MD on 15-18 Nov 2005. Published in NIST Special Publication SP500-266 and on line by the National Institute of Standards and Technology.
	Keyword: *COMPUTATIONAL LINGUISTICS; ALGORITHMS; BAYES THEOREM; Computer Programming and Software; Cybernetics; Information Science; Linguistics; Operations Research; PSEUDO-RELEVANCE FEEDBACK; RANKED LIST CLARITY; TERM PROXIMITY
	URL: http://www.dtic.mil/docs/citations/ADA456323 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA456323
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