Asha Hegde

Orcid: 0000-0002-6382-4096

According to our database1, Asha Hegde authored at least 14 papers between 2018 and 2023.

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

Timeline

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PhD thesis 
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Links

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Bibliography

2023
Learning Models with Text Augmentation for Sarcasm Detection in Malayalam and Tamil Code-mixed Texts.
Proceedings of the Working Notes of FIRE 2023, 2023

Word-level Language Identification in Code-mixed Tulu Texts.
Proceedings of the Working Notes of FIRE 2023, 2023

Taming Toxicity: Learning Models for Hate Speech and Offensive Language Detection in Social Media Text.
Proceedings of the Working Notes of FIRE 2023, 2023

Overview of CoLI-Tunglish: Word-level Language Identification in Code-mixed Tulu Text at FIRE 2023.
Proceedings of the Working Notes of FIRE 2023, 2023

CoLI@FIRE2023: Findings of Word-level Language Identification in Code-mixed Tulu Text.
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Trigger Detection in Social Media Text.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Profiling Cryptocurrency Influencers with Sentence Transformers.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
MUCS@MixMT: IndicTrans-based Machine Translation for Hinglish Text.
Proceedings of the Seventh Conference on Machine Translation, 2022

MUCS@Text-LT-EDI@ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach.
Proceedings of the Second Workshop on Language Technology for Equality, 2022

Learning Models for Emotion Analysis and Threatening Language Detection in Urdu Tweets.
Proceedings of the Working Notes of FIRE 2022, 2022

Leveraging Dynamic Meta Embedding for Sentiment Analysis and Detection of Homophobic/Transphobic Content in Code-mixed Dravidian Languages.
Proceedings of the Working Notes of FIRE 2022, 2022

2021
Urdu Fake News Detection Using Ensemble of Machine Learning Models.
Proceedings of the Working Notes of FIRE 2021, 2021

Ensemble Based Machine Learning Models for Hate Speech and Offensive Content Identification.
Proceedings of the Working Notes of FIRE 2021, 2021

2018
How Do you Work? Understanding User Needs for Responsive Study Space Design.
Coll. Res. Libr., 2018


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