Search Results for author: Manikandan Ravikiran

Found 12 papers, 3 papers with code

DOSA: Dravidian Code-Mixed Offensive Span Identification Dataset

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.

Language Identification

Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction

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.

Data Augmentation Sentence

Investigating the Effect of Intraclass Variability in Temporal Ensembling

no code implementations20 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.

Key Phrase Classification in Complex Assignments

no code implementations16 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.

Classification General Classification +1

What's happened in MOOC Posts Analysis, Knowledge Tracing and Peer Feedbacks? A Review

no code implementations27 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.

Knowledge Tracing Management

Systematic Review of Approaches to Improve Peer Assessment at Scale

no code implementations27 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.

Knowledge Tracing

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