62 citations · 294 across the 25 of their papers we have counts for
24 papers · 1 filter
Overcoming Low-Resource Barriers in Tulu: Neural Models and Corpus Creation for OffensiveLanguage Identification
Anusha M D, Deepthi Vikram, Bharathi Raja Chakravarthi +1
Tulu, a low-resource Dravidian language predominantly spoken in southern India, has limited computational resources despite its growing digital presence. This study presents the fi…
Zero-shot Code-Mixed Offensive Span Identification through Rationale Extraction
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. More specifically, we evaluate r…
Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments
Manikandan Ravikiran, Bharathi Raja Chakravarthi, Anand Kumar Madasamy +5
Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in codemixed Dravidian languages is limited to clas…
Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection
Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran, Gayathri Nisha +4
Hope Speech Detection, a task of recognizing positive expressions, has made significant strides recently. However, much of the current works focus on model development without cons…
Multimodal Hate Speech Detection from Bengali Memes and Texts
Md. Rezaul Karim, Sumon Kanti Dey, Tanhim Islam +2
Numerous machine learning (ML) and deep learning (DL)-based approaches have been proposed to utilize textual data from social media for anti-social behavior analysis like cyberbull…
TamilEmo: Finegrained Emotion Detection Dataset for Tamil
Charangan Vasantharajan, Sean Benhur, Prasanna Kumar Kumarasen +8
Emotional Analysis from textual input has been considered both a challenging and interesting task in Natural Language Processing. However, due to the lack of datasets in low-resour…
Findings of the Sentiment Analysis of Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Sajeetha Thavareesan +8
We present the results of the Dravidian-CodeMix shared task held at FIRE 2021, a track on sentiment analysis for Dravidian Languages in Code-Mixed Text. We describe the task, its o…
Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages
Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini +7
With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification…
Dataset for Identification of Homophobia and Transophobia in Multilingual YouTube Comments
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Rahul Ponnusamy +6
The increased proliferation of abusive content on social media platforms has a negative impact on online users. The dread, dislike, discomfort, or mistrust of lesbian, gay, transge…
Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021
Karthik Puranik, Adeep Hande, Ruba Priyadharshini +4
This paper reports the Machine Translation (MT) systems submitted by the IIITT team for the English->Marathi and English->Irish language pairs LoResMT 2021 shared task. The task fo…
Offensive Language Identification in Low-resourced Code-mixed Dravidian languages using Pseudo-labeling
Adeep Hande, Karthik Puranik, Konthala Yasaswini +6
Social media has effectively become the prime hub of communication and digital marketing. As these platforms enable the free manifestation of thoughts and facts in text, images and…
Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification
Siddhanth U Hegde, Adeep Hande, Ruba Priyadharshini +5
A meme is an part of media created to share an opinion or emotion across the internet. Due to its popularity, memes have become the new forms of communication on social media. Howe…
Hope Speech detection in under-resourced Kannada language
Adeep Hande, Ruba Priyadharshini, Anbukkarasi Sampath +3
Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms. However,…
DravidianCodeMix: Sentiment Analysis and Offensive Language Identification Dataset for Dravidian Languages in Code-Mixed Text
Bharathi Raja Chakravarthi, Ruba Priyadharshini, Vigneshwaran Muralidaran +4
This paper describes the development of a multilingual, manually annotated dataset for three under-resourced Dravidian languages generated from social media comments. The dataset w…
DravidianMultiModality: A Dataset for Multi-modal Sentiment Analysis in Tamil and Malayalam
Bharathi Raja Chakravarthi, Jishnu Parameswaran P. K, Premjith B +5
Human communication is inherently multimodal and asynchronous. Analyzing human emotions and sentiment is an emerging field of artificial intelligence. We are witnessing an increasi…
UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention
Siddhanth U Hegde, Adeep Hande, Ruba Priyadharshini +2
Tamil is a Dravidian language that is commonly used and spoken in the southern part of Asia. In the era of social media, memes have been a fun moment in the day-to-day life of peop…
IIITT@LT-EDI-EACL2021-Hope Speech Detection: There is always Hope in Transformers
Karthik Puranik, Adeep Hande, Ruba Priyadharshini +2
In a world filled with serious challenges like climate change, religious and political conflicts, global pandemics, terrorism, and racial discrimination, an internet full of hate s…
DeepHateExplainer: Explainable Hate Speech Detection in Under-resourced Bengali Language
Md. Rezaul Karim, Sumon Kanti Dey, Tanhim Islam +6
The exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices, but also enables people to…
Aspects of Terminological and Named Entity Knowledge within Rule-Based Machine Translation Models for Under-Resourced Neural Machine Translation Scenarios
Daniel Torregrosa, Nivranshu Pasricha, Maraim Masoud +4
Rule-based machine translation is a machine translation paradigm where linguistic knowledge is encoded by an expert in the form of rules that translate text from source to target l…
A Survey of Orthographic Information in Machine Translation
Bharathi Raja Chakravarthi, Priya Rani, Mihael Arcan +1
Machine translation is one of the applications of natural language processing which has been explored in different languages. Recently researchers started paying attention towards…
ULD@NUIG at SemEval-2020 Task 9: Generative Morphemes with an Attention Model for Sentiment Analysis in Code-Mixed Text
Koustava Goswami, Priya Rani, Bharathi Raja Chakravarthi +2
Code mixing is a common phenomena in multilingual societies where people switch from one language to another for various reasons. Recent advances in public communication over diffe…
A Sentiment Analysis Dataset for Code-Mixed Malayalam-English
Bharathi Raja Chakravarthi, Navya Jose, Shardul Suryawanshi +2
There is an increasing demand for sentiment analysis of text from social media which are mostly code-mixed. Systems trained on monolingual data fail for code-mixed data due to the…
Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text
Bharathi Raja Chakravarthi, Vigneshwaran Muralidaran, Ruba Priyadharshini +1
Understanding the sentiment of a comment from a video or an image is an essential task in many applications. Sentiment analysis of a text can be useful for various decision-making…
Classification Benchmarks for Under-resourced Bengali Language based on Multichannel Convolutional-LSTM Network
Md. Rezaul Karim, Bharathi Raja Chakravarthi, John P. McCrae +1
Exponential growths of social media and micro-blogging sites not only provide platforms for empowering freedom of expressions and individual voices but also enables people to expre…