Конференции

First workshop on Low Resource Cross-Domain, Cross-Lingual and Cross-Modal Offensive Content Analysis

Технические науки
Информационные технологии
Индия, Ченнаи

24 ноября–25 ноября 2022

Форма участия: Очно-заочная

Срок подачи заявок: 20.09.2022

Индексирование сборника: Springer

Организаторы: Program Committee

emal: [email protected]

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Topics related to developing computational models and systems include but are not limited toMultimodal models and methods for detecting cross domain offensive contents online, including, but not limited to hate speech, gender-based violence, cyberbullying, homophobia etc.
Application of NLP and Computer Vision tools to analyze social media content catered to code mixed low resource Dravidian languages
NLP, Computer Vision and Speech Processing models for low resource cross-lingual offensive content detection.
Computational models for multi-modal offensive content detection with emphasis on handling absence of one or more modalities
Development of corpora and annotation guidelines for cross domain, cross modal, multi modal and cross lingual offensive content analysis
Critical evaluation of systems with a focus on Low Resource Cross-Domain, Cross-Lingual and Cross-Modal Offensive Content Analysis
Systems studying model and social biases under cross domain low resource settings for offensive content analysis
Cross-domain metrics, which can reliably and robustly measure the quality of system outputs from multiple modalities (e.g., image and speech), different domains (e.g., movie reviews, homophobic contents) and different languages.
Study of quality of annotations for cross domain low resource offensive contents, e.g., consistency of annotations, inter-rater agreement, and bias etc.

Publication
LC4 proceedings will be published in SPELLL2022 by Springer

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