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Experimental IR Meets Multilinguality, Multimodality, and Interaction [electronic resource] : 14th International Conference of the CLEF Association, CLEF 2023, Thessaloniki, Greece, September 18–21, 2023, Proceedings /

Contributor(s): Material type: TextTextSeries: Lecture Notes in Computer Science ; 14163Publisher: Cham : Springer Nature Switzerland : Imprint: Springer, 2023Edition: 1st ed. 2023Description: XXI, 534 p. 137 illus., 56 illus. in color. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783031424489
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 006.35 23
LOC classification:
  • QA76.9.N38
Online resources:
Contents:
Conference Papers -- I nception Models for Fashion Image Captioning: an Extensive Study on Multiple Datasets -- The Best is yet to Come: A Reproducible Analysis of CLEF eHealth TAR Experiments -- Predicting Retrieval Performance Changes in Evolving Evaluation Environments -- Predicting Retrieval Performance Changes in Evolving Evaluation Environments -- Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research -- Using authorship embeddings to understand writing style in social media -- Trend Detection in Crime-related Time Series with Change Point Detection Methods -- DAVI: a Dataset for Automatic Variant Interpretation -- qCLEF: a Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems -- Graph-Enriched Biomedical Entity Representation Transformer -- Supervised Machine-Generated Text Detectors: Family and Scale Matters -- Bestof CLEF 2022 Labs -- Cross-lingual Candidate Retrieval and Re-ranking for Biomedical Entity Linking -- Humour Translation with Transformers -- Fight Against Misinformation on Social Media: Detecting Attention-Worthy and Harmful Tweets and Verifiable and Check-Worthy Claims -- A Re-labeling Approach based on Approximate Nearest Neighbors for Identifying Gambling Disorders in Social Media -- Touch´e 2022 Best of Labs: Neural Image Retrieval for Argumentation -- SimpleText Best of Labs in CLEF-2022: Simplify Text Generation with Prompt Engineering -- Answer Retrieval for Math Questions using Structural and Dense Retrieval -- CLEF 2023 Lab Overviews -- Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering -- Overview of the CLEF–2023 CheckThat! Lab Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source -- Overview of DocILE 2023: Document Information Localization and Extraction -- Overview of eRisk 2023: Early Risk Prediction on the Internet -- Overview of EXIST 2023 – Learning with Disagreement for Sexism Identification and Characterization -- Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023 -- Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications -- Overview of JOKER – CLEF-2023 Track on Automatic Wordplay Analysis -- Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi -- Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance -- Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection -- Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts -- Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts.
In: Springer Nature eBookSummary: 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.
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Conference Papers -- I nception Models for Fashion Image Captioning: an Extensive Study on Multiple Datasets -- The Best is yet to Come: A Reproducible Analysis of CLEF eHealth TAR Experiments -- Predicting Retrieval Performance Changes in Evolving Evaluation Environments -- Predicting Retrieval Performance Changes in Evolving Evaluation Environments -- Cem Mil Podcasts: A Spoken Portuguese Document Corpus For Multi-modal, Multi-lingual and Multi-Dialect Information Access Research -- Using authorship embeddings to understand writing style in social media -- Trend Detection in Crime-related Time Series with Change Point Detection Methods -- DAVI: a Dataset for Automatic Variant Interpretation -- qCLEF: a Proposal to Evaluate Quantum Annealing for Information Retrieval and Recommender Systems -- Graph-Enriched Biomedical Entity Representation Transformer -- Supervised Machine-Generated Text Detectors: Family and Scale Matters -- Bestof CLEF 2022 Labs -- Cross-lingual Candidate Retrieval and Re-ranking for Biomedical Entity Linking -- Humour Translation with Transformers -- Fight Against Misinformation on Social Media: Detecting Attention-Worthy and Harmful Tweets and Verifiable and Check-Worthy Claims -- A Re-labeling Approach based on Approximate Nearest Neighbors for Identifying Gambling Disorders in Social Media -- Touch´e 2022 Best of Labs: Neural Image Retrieval for Argumentation -- SimpleText Best of Labs in CLEF-2022: Simplify Text Generation with Prompt Engineering -- Answer Retrieval for Math Questions using Structural and Dense Retrieval -- CLEF 2023 Lab Overviews -- Overview of BioASQ 2023: The eleventh BioASQ challenge on Large-Scale Biomedical Semantic Indexing and Question Answering -- Overview of the CLEF–2023 CheckThat! Lab Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source -- Overview of DocILE 2023: Document Information Localization and Extraction -- Overview of eRisk 2023: Early Risk Prediction on the Internet -- Overview of EXIST 2023 – Learning with Disagreement for Sexism Identification and Characterization -- Intelligent Disease Progression Prediction: Overview of iDPP@CLEF 2023 -- Overview of the ImageCLEF 2023: Multimedia Retrieval in Medical, Social Media and Internet Applications -- Overview of JOKER – CLEF-2023 Track on Automatic Wordplay Analysis -- Overview of LifeCLEF 2023: evaluation of AI models for the identification and prediction of birds, plants, snakes and fungi -- Overview of the CLEF-2023 LongEval Lab on Longitudinal Evaluation of Model Performance -- Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection -- Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts -- Overview of the CLEF 2023 SimpleText Lab: Automatic Simplification of Scientific Texts.

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.

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