Supriya Chanda

Orcid: 0000-0002-6344-8772

According to our database1, Supriya Chanda authored at least 24 papers between 2020 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2025
Word Level Language Identification from Social Media Code-Mixed Data Leveraging Transformer-Based Models.
SN Comput. Sci., October, 2025

Findings of the Shared Task on Multilingual Story Illustration: Bridging Cultures through AI Artistry (MUSIA).
Proceedings of the Working Notes of FIRE 2025, 2025

Overview of the Shared Task on Multilingual Story Illustration: Bridging Cultures through AI Artistry (MUSIA).
Proceedings of the 17th annual meeting of the Forum for Information Retrieval Evaluation, 2025

GraMLID: GRU-Assisted Multilingual BERT for Word-Level Language Identification in Low-Resource Dravidian Texts.
Proceedings of the Working Notes of FIRE 2025, 2025

MIRaCLE: Multilingual Information Retrieval with Cross-Lingual Embeddings for Mathematical Expressions.
Proceedings of the Working Notes of FIRE 2025, 2025

OffenSwitch: Decoding Toxicity in Dravidian Code-Mixing with Transformers.
Proceedings of the Working Notes of FIRE 2025, 2025

Overview of the CMIR Track at FIRE 2025: Code-Mixed Information Retrieval from Social Media Data.
Proceedings of the 17th annual meeting of the Forum for Information Retrieval Evaluation, 2025

SAViOR: Sentiment Sarcasm Abuse and Vulgarity in Online Realities (Memes).
Proceedings of the Working Notes of FIRE 2025, 2025

TIRTHA: Tourism Information Retrieval and Text-based Hindi Answering.
Proceedings of the Working Notes of FIRE 2025, 2025

Findings of the Code-Mixed Information Retrieval from Social Media Data (CMIR) Shared Task at FIRE 2025.
Proceedings of the Working Notes of FIRE 2025, 2025

2024
Towards Safer Online Spaces: Deep Learning for Hate Speech Detection in Code-Mixed Social Media Conversations.
Proceedings of the Companion Publication of the 16th ACM Web Science Conference, 2024

Leveraging ChatGPT and XLM-RoBERTa for Sarcasm Detection in Dravidian Code-Mixed Languages.
Proceedings of the Working Notes of FIRE 2024, 2024

Overview of the shared task on code-mixed information retrieval from social media data.
Proceedings of the Working Notes of FIRE 2024, 2024

2023
The Effect of Stopword Removal on Information Retrieval for Code-Mixed Data Obtained Via Social Media.
SN Comput. Sci., September, 2023

Sarcasm Detection in Tamil and Malayalam Dravidian Code-Mixed Text.
Proceedings of the Working Notes of FIRE 2023, 2023

Advancing Language Identification in Code-Mixed Tulu Texts: Harnessing Deep Learning Techniques.
Proceedings of the Working Notes of FIRE 2023, 2023

Crossing Borders: Multilingual Hate Speech Detection.
Proceedings of the Working Notes of FIRE 2023, 2023

2022
Coarse and Fine-Grained Conversational Hate Speech and Offensive Content Identification in Code-Mixed Languages using Fine-Tuned Multilingual Embedding.
Proceedings of the Working Notes of FIRE 2022, 2022

Sentiment Analysis and Homophobia detection of Code-Mixed Dravidian Languages leveraging pre-trained model and word-level language tag.
Proceedings of the Working Notes of FIRE 2022, 2022

2021
Fine-tuning Pre-Trained Transformer based model for Hate Speech and Offensive Content Identification in English Indo-Aryan and Code-Mixed (English-Hindi) languages.
Proceedings of the Working Notes of FIRE 2021, 2021

Is Meta Embedding Better than Pre-Trained Word Embedding to Perform Sentiment Analysis for Dravidian Languages in Code-Mixed Text?
Proceedings of the Working Notes of FIRE 2021, 2021

2020
IRlab@IITV at SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media Using SVM.
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

IRLab@IITBHU@Dravidian-CodeMix-FIRE2020: Sentiment Analysis for Dravidian Languages in Code-Mixed Text.
Proceedings of the Working Notes of FIRE 2020, 2020

IRLab@IITBHU at WNUT-2020 Task 2: Identification of informative COVID-19 English Tweets using BERT.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020


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