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Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 14th International C Avi Arampatzis,Evangelos Kanoulas,Nicola Ferro

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发表于 2025-3-21 19:13:42 | 显示全部楼层 |阅读模式
书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction
副标题14th International C
编辑Avi Arampatzis,Evangelos Kanoulas,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; 14th International C Avi Arampatzis,Evangelos Kanoulas,Nicola Ferro
描述.This volume LNCS 14163 constitutes the refereed proceedings of 14th International Conference of the CLEF Association, CLEF 2023, in Thessaloniki, Greece, during September 18–21, 2023.  ..The 10 full papers and one short paper included in this book were carefully reviewed and selected from 35 submissions. The conference focuses on authorship attribution, fake news detection and news tracking, noise-detection in automatically transferred relevance judgments, impact of online education on children’s conversational search behavior, analysis of multi-modal social media content, knowledge graphs for sensitivity identification, a fusion of deep learning and logic rules for sentiment analysis, medical concept normalization and domain-specific information extraction..In addition to this, the volume presents 7 “Best of the labs” papers which were reviewed as full paper submissions with the same review criteria. 13 lab overview papers were accepted and represent scientific challenges based on new datasets and real world problems in multimodal and multilingual information access...
出版日期Conference proceedings 2023
关键词artificial intelligence; computational linguistics; information retrieval; engineering; linguistics; Info
版次1
doihttps://doi.org/10.1007/978-3-031-42448-9
isbn_softcover978-3-031-42447-2
isbn_ebook978-3-031-42448-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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The Best is Yet to Come: A Reproducible Analysis of CLEF eHealth TAR Experimentsreview systems in assisting healthcare professionals in retrieving relevant information from vast amounts of medical literature. It ran for three years, from 2017 until 2019, giving the opportunity to research groups to conduct experiments and share results on automatic methods to retrieve relevant
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When Sarcasm Hurts: Irony-Aware Models for Abusive Language Detectionular trait makes sarcasm apt to convey hate speech and not only humour. Previous works on abusive language stressed the need to address ironic language to lead the system to recognize correctly hate speech, especially in spontaneous texts, like tweets [.]. In this context, our main hypothesis is tha
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Cem Mil Podcasts: A Spoken Portuguese Document Corpus for Multi-modal, Multi-lingual and Multi-diale was sampled, descriptive statistics over the collection, as well as information about the distribution over Brazilian and Portuguese dialects..We give results from experiments on multi-lingual summarization, showing that summarizing podcast transcripts can be performed well by a system supporting b
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Using Authorship Embeddings to Understand Writing Style in Social Mediaess the problem in time. The use of multiple accounts or the continuous creation of new accounts makes it difficult to re-detect the presence of a user who, for example, has disseminated false information. In this paper, we present a novel approach to understanding and characterizing authorship in s
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Trend Detection in Crime-Related Time Series with Change Point Detection Methodses. In this work, a variety of methods is exploited to detect significant points of change in crime-related time series that may indicate the occurrence of events that require attention. In particular, change point analysis is applied in relevant time series, both offline (retrospective change detec
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DAVI: A Dataset for Automatic Variant Interpretationtifying pathogenic variants among millions of variants relies on the research of evidence in support of or against variant pathogenicity, a process regulated by the American College of Molecular Genetics (ACMG) guidelines, which leverages data from the scientific literature. Despite recent improveme
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qCLEF: A Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systemses are also becoming available and usable to solve practical problems in the Information Retrieval (IR) and Recommender Systems (RS) fields. Nowadays IR and RS need to perform complex operations on very large datasets. In this scenario, it could be possible to increase the performance of these syste
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