paper-conference

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 …
PDF Cite Code Project Poster DOI
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 …
PDF Cite
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 …
PDF Cite Code Poster DOI
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 …
PDF Cite Project
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. …
PDF Cite Project DOI
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 …
PDF Cite
RMIT_IR at the NTCIR-17 FairWeb-1 Task
This report describes the participation of the RMIT IR group at the NTCIR-17 FairWeb-1 task. We submitted five runs with the aim of …
PDF Cite Code Poster Video DOI
RMIT_IR at the NTCIR-17 FairWeb-1 Task
Towards Detecting Tonic Information Processing Activities with Physiological Data
Characterizing Information Processing Activities (IPAs) such as reading, listening, speaking, and writing, with physiological signals …
PDF Cite Project DOI
Towards Detecting Tonic Information Processing Activities with Physiological Data
Towards Measuring Sensitivity of Psychometrics in Crowdsourcing Tasks: Engaging with Fact-checked Content Online
This study attempts to explore the relationships between psychometric test outcomes and how participants rate the truthfulness of …
PDF Cite Video
A Crowdsourcing Methodology to Measure Algorithmic Bias in Black-box Systems: A Case Study with COVID-related Searches
Commercial software systems are typically opaque with regard to their inner workings. This makes it challenging to understand the …
PDF Cite Code Slides Video DOI