[Corpora-List] [CFP] Test set release: Dravidian-CodeMix-HASOC Shared Task at FIRE 2021. FINAL call!

Anand Kumar manandinfo at gmail.com
Fri Jun 18 17:01:34 CEST 2021

FINAL CALL FOR PARTICIPATION Dravidian-CodeMix-HASOC Shared Task at FIRE 2021.

*TEST SET RELEASED AT CODALAB * *Run submission deadline is on 25th June 2021*

For more details,

Website link: https://dravidian-codemix.github.io/hasoc2021/index.html codalab link: https://competitions.codalab.org/competitions/31146


Offensive language identification is a classification task in natural language processing (NLP) where the aim is to moderate and minimize offensive content in social media. It has been an active area of research in both academia and industry for the past two decades. There is an increasing demand for offensive language identification on social media texts which are largely code-mixed. Code-mixing is a prevalent phenomenon in a multilingual community and the code-mixed texts are sometimes written in non-native scripts. Systems trained on monolingual data fail on code-mixed data due to the complexity of code-switching at different linguistic levels in the text. This shared task presents a new gold standard corpus for offensive language identification of code-mixed text in Dravidian languages (Tamil-English and Malayalam-English).

Tamil language is spoken by Tamil people in India, Sri Lanka and by the Tamil diaspora around the world, with official recognition in India, Sri Lanka and Singapore. Malayalam is a Dravidian language spoken predominantly by the people of Kerala, India. The Tamil script evolved from the Tamili script, Vatteluttu alphabet, and Chola-Pallava script. It has 12 vowels, 18 consonants, and 1 āytam (voiceless velar fricative). Minority languages such as Saurashtra, Badaga, Irula, and Paniya are also written in the Tamil script. Tamil scripts are explained in Tolkappiyam (dating 5,320 BCE) as Eluttu" means "sound, letter, phoneme", and this covers the sounds of the Tamil language, how they are produced (phonology). It includes punarcci (lit. "joining, copulation") which is combination of sounds, orthography, graphemic and phonetics with sounds as they are produced and listened to. Malayalam scripts are alpha-syllabic, belonging to a family of abugida writing systems that is partially alphabetic and partially syllable-based. However, social media users often mix Roman script for typing because it is easy to input. Hence, the majority of the data available in social media for these under-resourced languages are code-mixed.

The goal of this task is to identify offensive language content of the code-mixed dataset of comments/posts in Dravidian Languages ( (Tamil-English and Malayalam-English)) collected from social media. The comment/post may contain more than one sentence but the average sentence length of the corpora is 1. Each comment/post is annotated at the comment/post level. This dataset also has class imbalance problems depicting real-world scenarios.

The participants will be provided development, training and test dataset.


This is a comment/post level classification task. Given a Youtube comment, systems have to classify it into Not-offensive, offensive-untargeted, offensive-targeted-individual, offensive-targeted-group, offensive-targeted-other, or Not-in-indented-language.

Last year link for Offensive Language Identification in Dravidian Code-Mixed text 2020 <https://sites.google.com/view/dravidian-codemix-fire2020/overview>. The sister taks for Sentiment Analysis in Dravidian Code-Mixed text 2020 <https://dravidian-codemix.github.io/2020/>. It is co-located with 13th meeting of Forum for Information Retrieval Evaluation 2021 <http://fire.irsi.res.in/fire/2021/home>which will be held virtually in Hyderabad, India.

Email: dravidiancodemixed at gmail.com and bharathiraja.akr at gmail.com


Bharathi Raja Chakravarthi <http://isd2007.nuigalway.ie/our-research/people/engineering-and-informatics/basokachakravarthi1/>, Insight SFI Research Centre for Data Analytics, Data Science Institute, National University of Ireland Galway

Ratnasingam sakuntharaj <http://www.esn.ac.lk/cict/staff/r-sakuntharaj>, Centre for Information and Communication Technology, Eastern University, Sri Lanka

Anand Kumar M <https://infotech.nitk.ac.in/faculty/anand-kumar-m&hl=en>, Department of Information Technology, National Institute of Technology Karnataka Surathkal, India

Sajeetha Thavareesan, <http://www.fsc.esn.ac.lk/mathematics/academic-staff/s-thavareesan> Eastern University, Sri Lanka

Premjith B <https://scholar.google.co.in/citations?user=B4J7II0AAAAJ&hl=en%22>, CEN, Amrita Vishwa Vidyapeetham, Coimbatore, Tamil Nadu

John P. McCrae <http://john.mccr.ae/>, Data Science Institute, National University of Ireland Galway

Subalalitha C.N <https://www.srmist.edu.in/engineering/dept-cse/faculty/subalalitha-c-n>, Department Of Computer Science & Engineering SRM Institute Of Science And Technology, Tamil Nadu

Thomas Mandl <https://scholar.google.com/citations?user=Quy2i0AAAAAJ&hl=en>, Information Science, University of Hildesheim

Student Volunteers

- Prasanna Kumar Kumaresan,

<https://www.linkedin.com/in/prasanna-kumar-kumaresan-ba1618200/> Indian

Institute of Information Technology and Management-Kerala

Website link: https://dravidian-codemix.github.io/hasoc2021/index.html codalab link: https://competitions.codalab.org/competitions/31146

-- --Regards

Dr.Anand Kumar M Assistant Professor, Department of Information Technology NIT K - Surathkal Mangalore-575025 09894753437 http://infotech.nitk.ac.in/faculty/anand-kumar-m -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 7651 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20210618/1216d756/attachment.txt>

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