標(biāo)題: Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 14th International C Avi Arampatzis,Evangelos Kanoulas,Nicola Ferro [打印本頁(yè)] 作者: Bunion 時(shí)間: 2025-3-21 19:13
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書目名稱Experimental IR Meets Multilinguality, Multimodality, and Interaction被引頻次
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書目名稱Experimental IR Meets Multilinguality, Multimodality, and Interaction讀者反饋
書目名稱Experimental IR Meets Multilinguality, Multimodality, and Interaction讀者反饋學(xué)科排名
作者: misanthrope 時(shí)間: 2025-3-21 21:11
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 作者: neutral-posture 時(shí)間: 2025-3-22 00:36 作者: 揮舞 時(shí)間: 2025-3-22 06:03
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作者: 愚蠢人 時(shí)間: 2025-3-22 11:49
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作者: Hot-Flash 時(shí)間: 2025-3-22 13:32
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作者: Hot-Flash 時(shí)間: 2025-3-22 20:55
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作者: 冒煙 時(shí)間: 2025-3-22 22:01
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作者: interference 時(shí)間: 2025-3-23 03:22
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作者: 疲勞 時(shí)間: 2025-3-23 07:48 作者: immunity 時(shí)間: 2025-3-23 13:12 作者: 有惡臭 時(shí)間: 2025-3-23 15:39
Cross-Lingual Candidate Retrieval and?Re-ranking for?Biomedical Entity Linkingdical datasets with grounded entity mentions for non-English languages are available for training supervised machine learning models. Moreover, the majority of concept aliases in medical vocabularies are also only available in English..In this work, we consider the problem of linking disease mention作者: Muffle 時(shí)間: 2025-3-23 20:18
Humour Translation with?Transformerst Transformer-based models are used to solve the three tasks introduced in the JOKER CLEF workshop. The Transformer model is a kind of neural network that tries to learn the contextual information from the sequential data by implicitly comprehending the existing relationships. In task 1, given a pie作者: 失誤 時(shí)間: 2025-3-23 22:34 作者: Slit-Lamp 時(shí)間: 2025-3-24 02:36
A Re-labeling Approach Based on?Approximate Nearest Neighbors for?Identifying Gambling Disorders in? training dataset of a classification task, from a user-based annotation to a message-based one. In particular, we tackle Task 1 of the CLEF 2022 eRisk Workshop which consists in the processing of messages written by Social Media users, in order to detect early signs of pathological gambling. Our pr作者: Lumbar-Stenosis 時(shí)間: 2025-3-24 06:33
Touché 2022 Best of?Labs: Neural Image Retrieval for?Argumentation support a discussion on the topic. This paper provides a detailed investigation of the challenges of this task by means of a novel and modular retrieval pipeline. All findings relate to our work from last year’s CLEF Touché’22 lab and a reproducibility study based on it. There, we demonstrate the u作者: 溫和女人 時(shí)間: 2025-3-24 11:22 作者: creatine-kinase 時(shí)間: 2025-3-24 17:31 作者: 憤慨一下 時(shí)間: 2025-3-24 20:31 作者: arrhythmic 時(shí)間: 2025-3-25 03:05
Genomics Approaches To Soybean Improvement, the description of the code, 2) to reorganize the code using a better reproducibility approach (R markdown), 3) to propose some minor changes to the code that would improve the performances of the system.作者: 聯(lián)合 時(shí)間: 2025-3-25 06:57 作者: 光滑 時(shí)間: 2025-3-25 07:35 作者: Heterodoxy 時(shí)間: 2025-3-25 12:02 作者: Vo2-Max 時(shí)間: 2025-3-25 16:17 作者: 樹膠 時(shí)間: 2025-3-25 21:58
The Best is Yet?to Come: A Reproducible Analysis of?CLEF eHealth TAR Experiments the description of the code, 2) to reorganize the code using a better reproducibility approach (R markdown), 3) to propose some minor changes to the code that would improve the performances of the system.作者: Discrete 時(shí)間: 2025-3-26 02:50
When Sarcasm Hurts: Irony-Aware Models for?Abusive Language Detectionwe carry out computational experiments injecting the knowledge of sarcasm in a system of hate speech detection, and iii) we adopt strategies of validation in terms of performance and significance of the obtained results. Results confirm our hypothesis and overcome the state of the art.作者: ASSAY 時(shí)間: 2025-3-26 07:35 作者: cochlea 時(shí)間: 2025-3-26 12:13
qCLEF: A Proposal to?Evaluate Quantum Annealing for?Information Retrieval and?Recommender Systems, thanks to an already met agreement. In addition, we also show a possible implementation of the required infrastructure which uses Docker containers and the Kubernetes orchestrator to ensure scalability, fault tolerance and that can be deployed on the cloud.作者: Reservation 時(shí)間: 2025-3-26 15:59
0302-9743 oniki, 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作者: BAIL 時(shí)間: 2025-3-26 17:20
Sini Flückiger-Isler,Markus KamberMGT detectors generalize well across scales but are limited in cross-family generalization. Contrariwise, we observe that MGT family attribution is practical and effective, while scale attribution has some limitations. Code and results are available ..作者: 大包裹 時(shí)間: 2025-3-26 23:29 作者: 借喻 時(shí)間: 2025-3-27 02:49 作者: 全神貫注于 時(shí)間: 2025-3-27 06:43
SimpleText Best of?Labs in?CLEF-2022: Simplify Text Generation with?Prompt Engineeringgenerated by T5 model cannot fully express the meaning of the original sentence, in a following further experiments, we adopted the GPT3.5 and GPT4 models to generate simple text, and they give better results according to in our evaluation metrics based on readability and vocabulary simplicity.作者: chandel 時(shí)間: 2025-3-27 09:31
https://doi.org/10.1007/978-3-658-03632-4oth English and Portuguese. We also show experiments on Portuguese podcast genre classification using text metadata. Combining this collection with previously released English-language collection opens up the potential for multi-modal, multi-lingual and multi-dialect podcast information access research.作者: 男生戴手銬 時(shí)間: 2025-3-27 17:07
,GULag — Hinterh?fe des Stalinismus,Manifold Mixup regularization for the respective tasks. We are ranked first in detecting factual claims in Arabic and harmful tweets in Dutch. In addition, we are ranked second in detecting check-worthy claims in Arabic and Bulgarian.作者: Anonymous 時(shí)間: 2025-3-27 21:34 作者: 挖掘 時(shí)間: 2025-3-28 00:58
Fight Against Misinformation on?Social Media: Detecting Attention-Worthy and?Harmful Tweets and?VeriManifold Mixup regularization for the respective tasks. We are ranked first in detecting factual claims in Arabic and harmful tweets in Dutch. In addition, we are ranked second in detecting check-worthy claims in Arabic and Bulgarian.作者: 欺騙世家 時(shí)間: 2025-3-28 05:40
Experimental IR Meets Multilinguality, Multimodality, and Interaction14th International C作者: Basilar-Artery 時(shí)間: 2025-3-28 09:25
Conference proceedings 2023rmation 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...作者: 恩惠 時(shí)間: 2025-3-28 12:04 作者: 創(chuàng)作 時(shí)間: 2025-3-28 17:22
https://doi.org/10.1007/978-3-663-04253-2es peaking at specific times, the somewhat different change points identified by online and offline methods, and the observation that domain knowledge is desired for better method selection and parameters configuration.作者: 雀斑 時(shí)間: 2025-3-28 21:33 作者: prodrome 時(shí)間: 2025-3-29 01:23
https://doi.org/10.1007/978-3-319-22084-0 the contrastive objective between a concept’s node representation and its textual embedding obtained via LM. We explore several state-of-the-art convolutional graph architectures, namely GraphSAGE and GAT, to learn relational information from local node neighborhood. After task-specific supervision作者: 單調(diào)性 時(shí)間: 2025-3-29 04:16
https://doi.org/10.1007/978-1-4939-9853-1 cross-encoder. We evaluate our system on the .?shared task dataset of the 10. . challenge..Our results show that supervised re-ranking outperforms the previously best-performing rule-based system, while requiring much less task-specific hyperparameter tuning. Detailed ablation experiments demonstra作者: impale 時(shí)間: 2025-3-29 07:53
Methods for Genotyping-by-Sequencing,ed to translate the entire phrase containing the wordplay. Sequence to sequence translation models are used to solve this task. The team has adopted different strategies for each task as they suited to the requirements therein. The paper reports proposed solutions, implementation details, experiment作者: 雇傭兵 時(shí)間: 2025-3-29 14:45
https://doi.org/10.1007/978-981-10-3686-6est average performance in the proposed evaluation frameworks, and shows to be the fastest one in terms of time needed to process the whole test dataset. This indicates that the proposed relabeling scheme allows us to capture more easily the textual information that leads to a correct detection of p作者: 金桌活畫面 時(shí)間: 2025-3-29 17:13
A Framework for Analysing Student Identity,e models can convincingly beat a random baseline. Therefore, we conduct a thorough error analysis to understand the inherent challenges of image stance detection and provide insight into potential new approaches to this task.作者: right-atrium 時(shí)間: 2025-3-29 23:29
Predicting Retrieval Performance Changes in?Evolving Evaluation Environmentsct the significantly performance changes of various IR systems using evolving test collections derived from the Robust and TREC-COVID collections. We evaluate our approach against our previous . experiments.作者: Ophthalmologist 時(shí)間: 2025-3-30 00:06 作者: 委托 時(shí)間: 2025-3-30 06:43
DAVI: A Dataset for Automatic Variant Interpretationd BS3, for a pool of 41 variants. Moreover, we demonstrated that DAVI can be used to train a predictive model that automatically identifies positive . associations..DAVI contains 311 . pairs: 154 positive and 157 negative associations. We used three different text representation models combined with作者: 鎮(zhèn)壓 時(shí)間: 2025-3-30 09:05 作者: LINES 時(shí)間: 2025-3-30 15:09
Cross-Lingual Candidate Retrieval and?Re-ranking for?Biomedical Entity Linking cross-encoder. We evaluate our system on the .?shared task dataset of the 10. . challenge..Our results show that supervised re-ranking outperforms the previously best-performing rule-based system, while requiring much less task-specific hyperparameter tuning. Detailed ablation experiments demonstra作者: 水槽 時(shí)間: 2025-3-30 17:55
Humour Translation with?Transformersed to translate the entire phrase containing the wordplay. Sequence to sequence translation models are used to solve this task. The team has adopted different strategies for each task as they suited to the requirements therein. The paper reports proposed solutions, implementation details, experiment作者: 遷移 時(shí)間: 2025-3-31 00:37 作者: 或者發(fā)神韻 時(shí)間: 2025-3-31 02:31
Touché 2022 Best of?Labs: Neural Image Retrieval for?Argumentatione models can convincingly beat a random baseline. Therefore, we conduct a thorough error analysis to understand the inherent challenges of image stance detection and provide insight into potential new approaches to this task.作者: gene-therapy 時(shí)間: 2025-3-31 05:40 作者: 取之不竭 時(shí)間: 2025-3-31 12:28
https://doi.org/10.1007/978-3-031-42448-9artificial intelligence; computational linguistics; information retrieval; engineering; linguistics; Info作者: 協(xié)議 時(shí)間: 2025-3-31 13:32 作者: 怒目而視 時(shí)間: 2025-3-31 19:36 作者: 違法事實(shí) 時(shí)間: 2025-3-31 22:26
Elizabeth Mazzio,Karam F. A. Soliman across multiple collections. In the first case, the evaluation environment (test collection and evaluation metrics) stays the same, while the environment changes, in the second case. Different evaluation environments may be seen, in fact, as evolutionary versions of some given evaluation environmen作者: 辯論 時(shí)間: 2025-4-1 03:37
Ingrid Schmale,Johannes Blome-Dreesular 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
