1 code implementation • EACL (DravidianLangTech) 2021 • Manikandan Ravikiran, Subbiah Annamalai
This paper presents the Dravidian Offensive Span Identification Dataset (DOSA) for under-resourced Tamil-English and Kannada-English code-mixed text.
no code implementations • DravidianLangTech (ACL) 2022 • Manikandan Ravikiran, Bharathi Raja Chakravarthi, Anand Kumar Madasamy, Sangeetha S, Ratnavel Rajalakshmi, Sajeetha Thavareesan, Rahul Ponnusamy, Shankar Mahadevan
Offensive content moderation is vital in social media platforms to support healthy online discussions.
no code implementations • DravidianLangTech (ACL) 2022 • Hariharan LekshmiAmmal, Manikandan Ravikiran, Anand Kumar Madasamy
Toxic span identification in Tamil is a shared task that focuses on identifying harmful content, contributing to offensiveness.
1 code implementation • DravidianLangTech (ACL) 2022 • Manikandan Ravikiran, Bharathi Raja Chakravarthi
This paper investigates the effectiveness of sentence-level transformers for zero-shot offensive span identification on a code-mixed Tamil dataset.
no code implementations • 12 May 2022 • Manikandan Ravikiran, Bharathi Raja Chakravarthi, Anand Kumar Madasamy, Sangeetha Sivanesan, Ratnavel Rajalakshmi, Sajeetha Thavareesan, Rahul Ponnusamy, Shankar Mahadevan. /
Offensive content moderation is vital in social media platforms to support healthy online discussions.
no code implementations • 12 Apr 2022 • Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran, Gayathri Nisha, Navyasree Balamuralidhar, Adithya Madhusoodanan, Anand Kumar Madasamy, Bharathi Raja Chakravarthi
Our work revisits this issue in hope-speech detection by introducing focal loss, data augmentation, and pre-processing strategies.
no code implementations • 20 Aug 2020 • Siddharth Vohra, Manikandan Ravikiran
Temporal Ensembling is a semi-supervised approach that allows training deep neural network models with a small number of labeled images.
no code implementations • SEMEVAL 2020 • Manikandan Ravikiran, Amin Ekant Muljibhai, Toshinori Miyoshi, Hiroaki Ozaki, Yuta Koreeda, Sakata Masayuki
In this paper, we present our participation in SemEval-2020 Task-12 Subtask-A (English Language) which focuses on offensive language identification from noisy labels.
2 code implementations • 3 Apr 2020 • Manikandan Ravikiran
Diversity in content and open-ended questions are inherent in complex assignments across online graduate programs.
no code implementations • 16 Mar 2020 • Manikandan Ravikiran
Complex assignments typically consist of open-ended questions with large and diverse content in the context of both classroom and online graduate programs.
no code implementations • 27 Jan 2020 • Manikandan Ravikiran
Learning Management Systems (LMS) and Educational Data Mining (EDM) are two important parts of online educational environment with the former being a centralised web-based information systems where the learning content is managed and learning activities are organised (Stone and Zheng, 2014) and latter focusing on using data mining techniques for the analysis of data so generated.
no code implementations • 27 Jan 2020 • Manikandan Ravikiran
Peer Assessment is a task of analysis and commenting on student's writing by peers, is core of all educational components both in campus and in MOOC's.