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Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 11th International C Avi Arampatzis,Evangelos Kanoulas,Nicola Ferro

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Conference proceedings 2020in September 2020.*.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 5 full papers and 2 short papers prese
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The Curious Case of Session Identificationssential for many tasks depending on context, yet many research projects over the last years still rely on early proposals. This position paper gives a quick overview of session identification development and questions the widespread use of the industry standard.
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R. Boyd,S.-J. Barnes,A. Grønlielings in questions, answer structure, and question types. We applied five popular RC models to SberQuAD and analyzed their performance. We believe our work makes an important contribution to research in multilingual question answering.
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https://doi.org/10.1007/978-3-031-33606-5 can be observed. Retrieval performance with English as a source language does not improve with translation as most documents already contained English-language content in our text collection. The large-scale evaluation study is based on a corpus of more than 1M metadata documents and 50 real queries taken from the query log files of the portal.
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Geo-intelligence for Sustainable Developmentchers to explore computational solutions to efficiently address the problem. This paper describes a weighted rule-based system for file forgery detection. The system was developed and validated in the several tasks of ImageCLEFsecurity 2019 track challenge, where promising results were obtained.
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https://doi.org/10.1007/978-3-642-12772-4om question posts are used to locate formulae in earlier question and answer posts, with relevance determined considering the context of the post from which a query formula is taken, and the posts in which retrieved formulae appear.
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SberQuAD – Russian Reading Comprehension Dataset: Description and Analysislings in questions, answer structure, and question types. We applied five popular RC models to SberQuAD and analyzed their performance. We believe our work makes an important contribution to research in multilingual question answering.
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