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Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 9th International Co Patrice Bellot,Chiraz Trabelsi,Nicola Ferro Con

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发表于 2025-3-21 20:02:22 | 显示全部楼层 |阅读模式
书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction
副标题9th International Co
编辑Patrice Bellot,Chiraz Trabelsi,Nicola Ferro
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 9th International Co Patrice Bellot,Chiraz Trabelsi,Nicola Ferro Con
描述This book constitutes the refereed proceedings of the 9.th. International Conference of the CLEF Initiative, CLEF 2018, jointly organized by Avignon, Marseille and Toulon universities and held in Avignon, France, in September 2018. 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 13 papers presented in this volume were carefully reviewed and selected from 39 submissions. Many papers tackle the medical ehealth and ehealth multimedia retrieval challenges, however there are many other topics of research such as document clustering, social biases in IR, social book search, personality profiling. Further this volume presents 9 “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 setsand real world problems in multimodal and multilingual information access. In addition to this, 10 benchmarking labs reported results of their yearlong activities in overview talks and lab sessions. The papers
出版日期Conference proceedings 2018
关键词artificial intelligence; biocommunications; bioinformatics; biomedical technologies; classification; imag
版次1
doihttps://doi.org/10.1007/978-3-319-98932-7
isbn_softcover978-3-319-98931-0
isbn_ebook978-3-319-98932-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2018
The information of publication is updating

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Multi-view Personality Profiling Based on Longitudinal Data may help in understanding the reasons behind one’s behavior and his/her motivation in undertaking new life challenges. In this study, we take the first step towards solving the problem of automatic personality profiling. Specifically, we propose the idea of fusing multi-source multi-modal temporal
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Learning-to-Rank and Relevance Feedback for Literature Appraisal in Empirical Medicineting this evidence can be both challenging and time-consuming for researchers conducting systematic reviews. Technologically assisted review (TAR) aims to assist this process by finding as much relevant information as possible with the least effort. Toward this, we present an incremental learning me
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Combining Tags and Reviews to Improve Social Book Search PerformanceSocial information retrieval is one of the areas that aim to use this social information to improve the information retrieval performance. This information can be textual, like tags or reviews, or non textual like ratings, number of likes, number of shares, etc. In this paper, we focus on the integr
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