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1
Multilinguale Herausforderungen in der Sacherschließung ...
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand" ...
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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3
Forschungsdokumentation zur Studie "Multilinguale Herausforderungen in der Sacherschließung - ein Retrievaltest an einem mehrsprachigen Bibliotheksbestand"
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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4
Multilinguale Herausforderungen in der Sacherschließung
Fallert, Sarah. - : Humboldt-Universität zu Berlin, 2020
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5
Vocabulaire employé pour l'accès thématique aux documents d'archives patrimoniaux : étude linguistique exploratoire de termes de recherche, de description, d'indexation
Guitard, Laure. - 2018
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6
Large Scale Analysis of Changes in English Vocabulary over Recent Time
In: http://www.dl.kuis.kyoto-u.ac.jp/~adam/cikm12b.pdf (2012)
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7
Identifying entity aspects in microblog posts
In: http://ilps.science.uva.nl/sites/ilps.science.uva.nl/files/sigir2012-poster-aspects.pdf (2012)
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DOI:10.1145/1458082.1458334 Decomposition of Terminology Graphs for Domain Knowledge Acquisition
In: http://hal.inria.fr/docs/00/63/60/39/PDF/cikm630-ibekwesanjuan.pdf (2011)
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9
Ukp at crosslink: Anchor text translation for cross-lingual link discovery
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings9/NTCIR/07-NTCIR9-CROSSLINK-KimJ.pdf (2011)
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10
Improved video categorization from text metadata and user comments
In: http://static.googleusercontent.com/external_content/untrusted_dlcp/research.google.com/en/us/pubs/archive/37092.pdf (2011)
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11
Subject-indexing and possessive morphology in Northwest Solomonic
Palmer, Bill. - : De Gruyter Mouton, 2011
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12
Identification of relations between risk factors and their pathologies or health conditions by mining scientific literature.
In: ISSN: 0926-9630 ; EISSN: 1879-8365 ; Studies in Health Technology and Informatics ; https://hal-riip.archives-ouvertes.fr/pasteur-00606238 ; Studies in Health Technology and Informatics, IOS Press, 2010, 160 (Pt 2), pp.964-8. ⟨10.1111/j.1567-1364.2008.00361.x⟩ (2010)
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13
Visual Sentiment Analysis of Text Document Streams · 27
In: http://bib.dbvis.de/uploadedFiles/authors_version.pdf (2010)
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14
M.: Application of Axiomatic Approaches to Crosslanguage Retrieval
In: http://clef.isti.cnr.it/2009/working_notes/rkern-paperCLEF2009.pdf (2010)
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15
Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes
In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009)
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16
Using semantic relatedness and word sense disambiguation for (cl)ir
In: http://clef.isti.cnr.it/2009/working_notes/agirre-robust-paperCLEF2009.pdf (2009)
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17
Towards Automated Large Vocabulary Gesture Search
In: http://cs-people.bu.edu/athitsos/publications/stefan_petra2009.pdf (2009)
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18
Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment
In: http://clef.isti.cnr.it/2009/working_notes/larsonVideoCLEF2009_overview.pdf (2009)
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19
Multiple retrieval models and regression models for prior art search
In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009)
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20
Multilingual Wikipedia, Summarization, and Information Trustworthiness
In: http://storm.cis.fordham.edu/~filatova/PDFfiles/FilatovaCLIR2009.pdf (2009)
Abstract: Wikipedia is used as a corpus for a variety of text processing applications. It is especially popular for information selec-tion tasks, such as summarization feature identification, an-swer generation/verification, etc. Many Wikipedia entries (about people, events, locations, etc.) have descriptions in several languages. Often Wikipedia entry descriptions cre-ated in different languages exhibit differences in length and content. In this paper we show that the pattern of infor-mation overlap across the descriptions written in different languages for the same Wikipedia entry fits well the pyra-mid summary framework, i.e., some information facts are covered in the Wikipedia entry descriptions in many lan-guages, while others are covered in a handful number of descriptions. This phenomenon leads to a natural summa-rization algorithm which we present in this paper. Accord-ing to our evaluation, the generated summaries have a high level of user satisfaction. Moreover, the discovered pyramid structure of Wikipedia entry descriptions can be used for Wikipedia information trustworthiness verification.
Keyword: Categories and Subject Descriptors H.3.1 [Information Storage and Retrieval; Content Analysis and Indexing General Terms Measurement; Experimentation; Human Factors Keywords Wikipedia; multilinguality; summarization
URL: http://storm.cis.fordham.edu/~filatova/PDFfiles/FilatovaCLIR2009.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.553.7816
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