no code implementations • EACL (LTEDI) 2021 • Suman Dowlagar, Radhika Mamidi
Hope is an essential aspect of mental health stability and recovery in every individual in this fast-changing world.
no code implementations • NAACL (CALCS) 2021 • Suman Dowlagar, Radhika Mamidi
Code-Switching is the embedding of linguistic units or phrases from two or more languages in a single sentence.
no code implementations • RANLP 2021 • Suman Dowlagar, Radhika Mamidi
We train a joint learning method by combining POS tagging and LI models on code-mixed social media text obtained from the ICON shared task.
no code implementations • EACL (DravidianLangTech) 2021 • Suman Dowlagar, Radhika Mamidi
In this paper, we propose the graph convolutional networks (GCN) for sentiment analysis on code-mixed text.
no code implementations • EACL (DravidianLangTech) 2021 • Suman Dowlagar, Radhika Mamidi
In a multilingual society, where code-mixing is a norm, the hate content would be delivered in a code-mixed form in social media, which makes the offensive content identification, further challenging.
no code implementations • LTEDI (ACL) 2022 • Suman Dowlagar, Radhika Mamidi
Later, we used machine learning methods to train and detect the signs of depression.
no code implementations • SemEval (NAACL) 2022 • Suman Dowlagar, Radhika Mamidi
Our work consists of Named Entity Recognition (NER) on the code-mixed dataset by leveraging the multilingual data.
1 code implementation • 22 Jan 2021 • Suman Dowlagar, Radhika Mamidi
Hateful and Toxic content has become a significant concern in today's world due to an exponential rise in social media.
1 code implementation • 22 Jan 2021 • Suman Dowlagar, Radhika Mamidi
We used the proposed method for the Task: "Sentiment Analysis for Dravidian Languages in Code-Mixed Text", and it achieved an F1 score of $0. 58$ and $0. 66$ for the given Dravidian code mixed data sets.
no code implementations • ICON 2020 • Suman Dowlagar, Radhika Mamidi
Terminology extraction, also known as term extraction, is a subtask of information extraction.
no code implementations • ICON 2020 • Suman Dowlagar, Radhika Mamidi
In this paper, we present a transfer learning system to perform technical domain identification on multilingual text data.
no code implementations • ICON 2020 • Suman Dowlagar, Radhika Mamidi
These features increase the complexity of the classification algorithm.