Bunion
发表于 2025-3-21 19:13:42
书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0318849<br><br> <br><br>书目名称Experimental IR Meets Multilinguality, Multimodality, and Interaction读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0318849<br><br> <br><br>
misanthrope
发表于 2025-3-21 21:11:24
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
neutral-posture
发表于 2025-3-22 00:36:41
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挥舞
发表于 2025-3-22 06:03:22
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
愚蠢人
发表于 2025-3-22 11:49:55
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
Hot-Flash
发表于 2025-3-22 13:32:38
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
Hot-Flash
发表于 2025-3-22 20:55:07
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
冒烟
发表于 2025-3-22 22:01:34
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
interference
发表于 2025-3-23 03:22:04
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
疲劳
发表于 2025-3-23 07:48:51
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