Preni Golazizian — accepted AI-conference papers

2024

CVAT-BWV: A Web-Based Video Annotation Platform for Police Body-Worn Video

Parsa Hejabi, Akshay Kiran Padte, Preni Golazizian, Rajat Hebbar, Jackson Trager, Georgios Chochlakis +5

IJCAI 2024poster

We introduce an open-source platform for annotating body-worn video (BWV) footage aimed at enhancing transparency and accountability in policing. Despite the widespread adoption of BWVs in police departments, analyzing the vast amount of footage generated has presented significant challenges. This i…

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2024

Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation

Preni Golazizian, Alireza Salkhordeh Ziabari, Ali Omrani, Morteza Dehghani

EMNLP 2024finding

In subjective NLP tasks, where a single ground truth does not exist, the inclusion of diverse annotators becomes crucial as their unique perspectives significantly influence the annotations. In realistic scenarios, the annotation budget often becomes the main determinant of the number of perspective…

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2024

Reinforced Multiple Instance Selection for Speaker Attribute Prediction

Alireza Salkhordeh Ziabari, Ali Omrani, Parsa Hejabi, Preni Golazizian, Brendan Kennedy, Payam Piray +1

NAACL 2024long

Language usage is related to speaker age, gender, moral concerns, political ideology, and other attributes. Current state-of-the-art methods for predicting these attributes take a speaker’s utterances as input and provide a prediction per speaker attribute. Most of these approaches struggle to handl…

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2023

Social-Group-Agnostic Bias Mitigation via the Stereotype Content Model

Ali Omrani, Alireza Salkhordeh Ziabari, Charles Yu, Preni Golazizian, Brendan Kennedy, Mohammad Atari +2

ACL 2023long

Existing bias mitigation methods require social-group-specific word pairs (e.g., “man” – “woman”) for each social attribute (e.g., gender), restricting the bias mitigation to only one specified social attribute. Further, this constraint renders such methods impractical and costly for mitigating bias…

Cited by 29 Source ↗PDF ↗code ↗Scholar ↗