6 citations · 12 across the 4 of their papers we have counts for
5 papers · 1 filter
A Data Bootstrapping Recipe for Low Resource Multilingual Relation Classification
Arijit Nag, Bidisha Samanta, Animesh Mukherjee +2
Relation classification (sometimes called 'extraction') requires trustworthy datasets for fine-tuning large language models, as well as for evaluation. Data collection is challengi…
Fine-grained Sentiment Controlled Text Generation
Bidisha Samanta, Mohit Agarwal, Niloy Ganguly
Controlled text generation techniques aim to regulate specific attributes (e.g. sentiment) while preserving the attribute independent content. The state-of-the-art approaches model…
A Deep Generative Model for Code-Switched Text
Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar +2
Code-switching, the interleaving of two or more languages within a sentence or discourse is pervasive in multilingual societies. Accurate language models for code-switched text are…
Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text
Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti
Multilingual writers and speakers often alternate between two languages in a single discourse, a practice called "code-switching". Existing sentiment detection methods are usually…
Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media
Jasabanta Patro, Bidisha Samanta, Saurabh Singh +3
Code-mixing or code-switching are the effortless phenomena of natural switching between two or more languages in a single conversation. Use of a foreign word in a language; however…