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Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 10th International C Fabio Crestani,Martin Braschler,Nicola Ferro Co

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書目名稱Experimental IR Meets Multilinguality, Multimodality, and Interaction
副標(biāo)題10th International C
編輯Fabio Crestani,Martin Braschler,Nicola Ferro
視頻videohttp://file.papertrans.cn/319/318851/318851.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 10th International C Fabio Crestani,Martin Braschler,Nicola Ferro Co
描述This book constitutes the refereed proceedings of the 10th?International Conference of the CLEF Association, CLEF 2019, held in Lugano, Switzerland, in September 2019..The conference has a clear focus on experimental information retrieval with special attention to the challenges of multimodality, multilinguality, and interactive search ranging from unstructured to semi structures and structured data. The 7 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 30?submissions. This year, many contributions tackle the social networks with the detection of stances or early identi?cation of depression signs on Twitter in a cross-lingual context. ..Further this volume presents 7 “best of the labs” papers which were reviewed as a full paper submission with the same review criteria. The labs represented scientific challenges based on new data sets and real world problems in multimodal and multilingual information access. In addition to this, 9 benchmarking labs reported results of their yearlong activities in overview talks and lab sessions..
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; computational linguistics; image analysis; information retrieval; natural langu
版次1
doihttps://doi.org/10.1007/978-3-030-28577-7
isbn_softcover978-3-030-28576-0
isbn_ebook978-3-030-28577-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Generating Cross-Domain Text Classification Corpora from Social Media Commentse variety of use cases, including previously unfeasible analyses like cross-lingual authorship attribution on original, non-translated texts. Using state-of-the-art authorship attribution methods, we show the potential of a cross-topic corpus generated by our framework when compared to the corpora t
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Efficient Answer-Annotation for Frequent Questionsnnotation approach. Afterwards, we compare the . approach with the . approach with respect to answer look-ups, annotation time, and label-quality. We show based on 500 German customer-support questions that the . approach requires 51% fewer answer look-ups, is 41% more time-efficient, and retains th
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Gentzen’s Consistency Proof in Contexte variety of use cases, including previously unfeasible analyses like cross-lingual authorship attribution on original, non-translated texts. Using state-of-the-art authorship attribution methods, we show the potential of a cross-topic corpus generated by our framework when compared to the corpora t
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Bilanzierung von Genussrechten nach IFRS,ame precision as a static system which assigns the same (the mean) number of classes to each document, and second, that the accuracy of predicting the number of classes is positively related to the quality (measured by MAP) of the text classifier.
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0302-9743 sets and real world problems in multimodal and multilingual information access. In addition to this, 9 benchmarking labs reported results of their yearlong activities in overview talks and lab sessions..978-3-030-28576-0978-3-030-28577-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
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