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  1. No Access

    Chapter and Conference Paper

    The CLEF-2024 CheckThat! Lab: Check-Worthiness, Subjectivity, Persuasion, Roles, Authorities, and Adversarial Robustness

    The first five editions of the CheckThat! lab focused on the main tasks of the information verification pipeline: check-worthiness, evidence retrieval and pairing, and verification. Since the 2023 edition, it has...

    Alberto Barrón-Cedeño, Firoj Alam, Tanmoy Chakraborty… in Advances in Information Retrieval (2024)

  2. No Access

    Chapter and Conference Paper

    Inception Models for Fashion Image Captioning: An Extensive Study on Multiple Datasets

    Fashion e-commerce platforms are becoming increasingly popular. However, scanning, rendering, and captioning fashion items are still done mostly manually. In this work, we address the task of generating a text...

    Mirko Del Moro, Serban Cristian Tudosie… in Experimental IR Meets Multilinguality, Mul… (2023)

  3. No Access

    Chapter and Conference Paper

    The CLEF-2023 CheckThat! Lab: Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority

    The five editions of the CheckThat! lab so far have focused on the main tasks of the information verification pipeline: check-worthiness, evidence retrieval and pairing, and verification. The 2023 edition of the ...

    Alberto Barrón-Cedeño, Firoj Alam, Tommaso Caselli… in Advances in Information Retrieval (2023)

  4. No Access

    Chapter and Conference Paper

    Overview of the CLEF–2023 CheckThat! Lab on Checkworthiness, Subjectivity, Political Bias, Factuality, and Authority of News Articles and Their Source

    We describe the sixth edition of the CheckThat! lab, part of the 2023 Conference and Labs of the Evaluation Forum (CLEF). The five previous editions of CheckThat! focused on the main tasks of the information veri...

    Alberto Barrón-Cedeño, Firoj Alam… in Experimental IR Meets Multilinguality, Mul… (2023)

  5. No Access

    Chapter and Conference Paper

    Hybrid Offline/Online Optimization for Energy Management via Reinforcement Learning

    Constrained decision problems in the real world are subject to uncertainty. If predictive information about the stochastic elements is available offline, recent works have shown that it is possible to rely on ...

    Mattia Silvestri, Allegra De Filippo… in Integration of Constraint Programming, Art… (2022)

  6. No Access

    Chapter and Conference Paper

    SubjectivITA: An Italian Corpus for Subjectivity Detection in Newspapers

    We present SubjectivITA: the first Italian corpus for subjectivity detection on news articles, with annotations at sentence and document level. Our corpus consists of 103 articles extracted from online newspap...

    Francesco Antici, Luca Bolognini… in Experimental IR Meets Multilinguality, Mul… (2021)