sheetal sonawane

Employment

• Pune Institute of Computer Technology Associate Professor
  2003 - Present

Education

• COEP Technological University Ph. D

Projects & Funding

Projects & funding information is unavailable.

Publications (44)

• Explicable knowledge graph (X-KG): generating knowledge graphs for explainable artificial intelligence and querying them by translating natural language queries to SPARQL
  International Journal of Information Technology (Singapore) 2024 DOI: 10.1007/s41870-023-01692-y
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• Analysis of Deep Learning Models for Text Summarization of User Manuals
  Lecture Notes in Electrical Engineering 2024 DOI: 10.1007/978-981-99-3481-2_35
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• NLP based Text Summarization of Fintech RFPs
  2nd International Conference on Sustainable Computing and Data Communication Systems, ICSCDS 2023 - Proceedings 2023 DOI: 10.1109/ICSCDS56580.2023.10104748
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• Vision-Based Multilingual Sign Language Translation
  SN Computer Science 2023 DOI: 10.1007/s42979-023-02273-3
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• PICT-CLRL at WASSA 2023 Empathy, Emotion and Personality Shared Task: Empathy and Distress Detection using Ensembles of Transformer Models
  Proceedings of the Annual Meeting of the Association for Computational Linguistics 2023
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• Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection
  arXiv 2023 DOI: 10.48550/arXiv.2311.18778
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• Mavericks at BLP-2023 Task 1: Ensemble-based Approach Using Language Models for Violence Inciting Text Detection
  BLP 2023 - 1st Workshop on Bangla Language Processing, Proceedings of the Workshop 2023
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• Leveraging ML Techniques for Image-based Freshness Index Prediction of Fruits and Vegetables
  2023 International Conference on Emerging Smart Computing and Informatics, ESCI 2023 2023 DOI: 10.1109/ESCI56872.2023.10100260
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• Explicable AI for surveillance and interpretation of Coronavirus using X-ray imaging
  2023 International Conference on Emerging Smart Computing and Informatics, ESCI 2023 2023 DOI: 10.1109/ESCI56872.2023.10099633
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• Empathy and Distress Detection using Ensembles of Transformer Models
  arXiv 2023 DOI: 10.48550/arXiv.2312.02578
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