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Overview of EXIST 2023 -- Learning with Disagreement for Sexism Identification and Characterization
In recent years, the rapid increase in the dissemination of offensive and discriminatory material aimed at women through social media …
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AI-UPV at EXIST 2023 -- Sexism Characterization Using Large Language Models Under The Learning with Disagreement Regime
With the increasing influence of social media platforms, it has become crucial to develop automated systems capable of detecting …
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Designing and Evaluating Presentation Strategies for Fact-Checked Content
With the rapid growth of online misinformation, it is crucial to have reliable fact-checking methods. Recent research on finding …
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Examining the Impact of Uncontrolled Variables on Physiological Signals in User Studies for Information Processing Activities
Physiological signals have the potential to be applied as objective measures to understand the behaviour and engagement of users …
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ITTC at SemEval 2023-Task 7: Document Retrieval and Sentence Similarity for Evidence Retrieval in Clinical Trial Data
This paper describes the submissions of the Natural Language Processing (NLP) team from the Australian Research Council Industrial …
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Mitigating Negative Transfer with Task Awareness for Sexism, Hate Speech, and Toxic Language Detection
This paper proposes a novelty approach to mitigate the negative transfer problem. In the field of machine learning, the common strategy …
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Overview of EXIST 2023 -- Learning with Disagreement for Sexism Identification and Characterization (Extended Overview)
In recent years, the rapid increase in the dissemination of offensive and discriminatory material aimed at women through social media …
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Overview of EXIST 2023: sEXism Identification in Social neTworks
The paper describes the lab on Sexism identification in social networks (EXIST 2023) that will be hosted at the CLEF 2023 conference. …
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RMIT CIDDA IR at the TREC 2022 Fair Ranking Track
This report describes the participation of the RMIT CIDDA IR group at the TREC 2022 Fair Ranking Track (Task 1). We submitted 8 runs …
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Towards Detecting Tonic Information Processing Activities with Physiological Data
Characterizing Information Processing Activities (IPAs) such as reading, listening, speaking, and writing, with physiological signals …
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