Dr. Rajesh Kumar Mundotiya

About

Rajesh Kumar Mundotiya holds the position of Assistant Professor at the Indian Institute of Technology (Bhilai), India. He is affiliated with the Department of Computer Science and Engineering. Before this, he held the position of Assistant Professor at the School of Computer Science, University of Petroleum & Energy Studies, Uttrakhand, India. In 2022 and 2015, he obtained a Ph.D. in Computer Science and Engineering from the Indian Institute of Technology, Varanasi, and a B.Tech-M.Tech (IDD) in Information and Communication Technology from the Centre for Converging Technologies, University of Rajasthan, Jaipur, respectively. The researcher's areas of focus include Natural Language Processing, Deep Learning, and Automatic Speech Processing. He has fulfilled the roles of session chair, organizer, and reviewer in various international conferences and journals, transactions, respectively.

Employment

• Indian Institute of Technology Bhilai Assistant Professor
  2023 - Present

Education

• Indian Institute of Technology BHU Ph.D
  2016 - 2022
• University of Rajasthan B.Tech-M.Tech
  2009 - 2015

Projects & Funding

Projects & funding information is unavailable.

Publications (25)

• Disentangling Style and Semantics for Calendar-Driven Text Generation: A Knowledge Graph-Guided Activation Steering Approach
  2026 DOI: 10.1007/978-981-92-1468-6_42
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• NERBench-Chhattisgarh: A Multi-Family NER Dataset for Low-Resource Indic Languages
  2026 DOI: 10.1145/3805712.3808633
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• Towards Indian Intelligent Tourism Assistance: Design and Evaluation of the VATIKA QA Dataset
  2025 DOI: 10.1145/3777867.3778253
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• Sarcasm Identification and Classification in Hindi Newspaper Headlines
  ACM Transactions on Asian and Low-Resource Language Information Processing 2025 DOI: 10.1145/3714469
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• Enhancing Generalizability in Biomedical Entity Recognition: Self-Attention PCA-CLS Model
  IEEE/ACM Transactions on Computational Biology and Bioinformatics 2024 DOI: 10.1109/TCBB.2024.3429234
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• Development of a Dataset and a Deep Learning Baseline Named Entity Recognizer for Three Low Resource Languages: Bhojpuri, Maithili, and Magahi
  ACM Transactions on Asian and Low-Resource Language Information Processing 2023 DOI: 10.1145/3533428
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• Domain Adaptation for POS Tagging with Contrastive Monotonic Chunk-wise Attention
  Neural Processing Letters 2022 DOI: 10.1007/s11063-022-10746-4
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• Low Resource Neural Machine Translation: Assamese to/from Other Indo-Aryan (Indic) Languages
  ACM Transactions on Asian and Low-Resource Language Information Processing 2022 DOI: 10.1145/3469721
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• Diversity in recommendation system: A cluster based approach
  Advances in Intelligent Systems and Computing 2021 DOI: 10.1007/978-3-030-49336-3_12
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• NLPRL System for Very Low Resource Supervised Machine Translation
  5th Conference on Machine Translation, WMT 2020 - Proceedings 2021
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