Bhuvanesh Verma

@article{Owoyele:et:al:2020,
  title     = {Socio-Semantic X-Ray of Multi-Actor Constellations using Topics
               and Interstitial Authors: A Toolkit for Augmenting Computational
               Literature Reviews},
  author    = {Owoyele, Babajide and Verma, Bhuvanesh and Omolaoye, Victor and Edelman, Jonathan Antonio
               and Loorbach, Derk and de Melo, Gerard},
  journal   = {Available at SSRN 4713155},
  doi       = {10.2139/ssrn.4713155},
  url       = {https://dx.doi.org/10.2139/ssrn.4713155},
  year      = {2024}
}

@misc{Owoyele:et:al:2024,
  title     = {MaskAnyone Toolkit: Offering Strategies for Minimizing Privacy
               Risks and Maximizing Utility in Audio-Visual Data Archiving},
  author    = {Babajide Alamu Owoyele and Martin Schilling and Rohan Sawahn and Niklas Kaemer
               and Pavel Zherebenkov and Bhuvanesh Verma and Wim Pouw and Gerard de Melo},
  year      = {2024},
  eprint    = {2408.03185},
  archiveprefix = {arXiv},
  primaryclass = {cs.CR},
  url       = {https://arxiv.org/abs/2408.03185}
}

@misc{Verma:Raithel:2024,
  title     = {DFKI-NLP at SemEval-2024 Task 2: Towards Robust LLMs Using Data
               Perturbations and MinMax Training},
  author    = {Bhuvanesh Verma and Lisa Raithel},
  year      = {2024},
  eprint    = {2405.00321},
  archiveprefix = {arXiv},
  primaryclass = {cs.CL},
  url       = {https://arxiv.org/abs/2405.00321}
}

@inproceedings{Raithel:et:al:2024,
  title     = {Overview of {\#}{SMM}4{H} 2024 {--} Task 2: Cross-Lingual Few-Shot
               Relation Extraction for Pharmacovigilance in {F}rench, {G}erman,
               and {J}apanese},
  author    = {Raithel, Lisa and Thomas, Philippe and Verma, Bhuvanesh and Roller, Roland
               and Yeh, Hui-Syuan and Yada, Shuntaro and Grouin, Cyril and Wakamiya, Shoko
               and Aramaki, Eiji and M{\"o}ller, Sebastian and Zweigenbaum, Pierre},
  editor    = {Xu, Dongfang and Gonzalez-Hernandez, Graciela},
  booktitle = {Proceedings of The 9th Social Media Mining for Health Research
               and Applications (SMM4H 2024) Workshop and Shared Tasks},
  month     = {aug},
  year      = {2024},
  address   = {Bangkok, Thailand},
  publisher = {Association for Computational Linguistics},
  url       = {https://aclanthology.org/2024.smm4h-1.39/},
  pages     = {170--182},
  abstract  = {This paper provides an overview of Task 2 from the Social Media
               Mining for Health 2024 shared task ({\#}SMM4H 2024), which focused
               on Named Entity Recognition (NER, Subtask 2a) and the joint task
               of NER and Relation Extraction (RE, Subtask 2b) for detecting
               adverse drug reactions (ADRs) in German, Japanese, and French
               texts written by patients. Participants were challenged with a
               few-shot learning scenario, necessitating models that can effectively
               generalize from limited annotated examples. Despite the diverse
               strategies employed by the participants, the overall performance
               across submissions from three teams highlighted significant challenges.
               The results underscored the complexity of extracting entities
               and relations in multi-lingual contexts, especially from the noisy
               and informal nature of user-generated content. Further research
               is required to develop robust systems capable of accurately identifying
               and associating ADR-related information in low-resource and multilingual
               settings.}
}

@misc{Binder:et:al:2022,
  title     = {Full-Text Argumentation Mining on Scientific Publications},
  author    = {Arne Binder and Bhuvanesh Verma and Leonhard Hennig},
  year      = {2022},
  eprint    = {2210.13084},
  archiveprefix = {arXiv},
  primaryclass = {cs.CL},
  url       = {https://arxiv.org/abs/2210.13084}
}

@article{Paul:et:al:2020,
  title     = {Estimating electrification using multi-temporal DMSP/OLS night
               imagery as proxy measure of human well-being in India},
  author    = {Paul, Arati and Verma, Bhuvanesh and Chakraborty, Debasish},
  journal   = {Spatial Information Research},
  volume    = {28},
  issn      = {2366-3294},
  pages     = {469--473},
  year      = {2020},
  url       = {http://dx.doi.org/10.1007/s41324-019-00307-8},
  doi       = {10.1007/s41324-019-00307-8},
  publisher = {Springer}
}