Vani Kanjirangat

Table of Contents

Short Bio

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I am currently working as a Researcher in the Natural Language Processing (NLP) lab of IDSIA, Switzerland. I completed my PhD in NLP, which was primarily centered on integrating machine learning and NLP techniques for text plagiarism detection. Ongoing research work includes Biomedical Text Mining, Semantic Shift Detection and Visual Summary Generations using NLP techniques, Temporal Embeddings, Transformers and other Deep Learning models. Alongside, I am working on projects aligned with application of deep learning models in financial and question answering domains.

External links

Recent publications

  • Vani, K., Mellace, S., & Antonucci, A. (2020). Temporal Embeddings and Transformer Models for Narrative Text Understanding. In Proceedings of the Text2StoryIR'20 Workshop @ ECIR. arXiv:2003.08811
  • Oita, M., Vani, K., & Oezdemir-Zaech, F. (2020). Semantically Corroborating Neural Attention for Biomedical Question Answering. In Machine Learning and Knowledge Discovery in Databases: International Workshops of ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II (pp. 670-685). Springer International Publishing. doi: 10.1007/978-3-030-43887-660
  • Vani, K., and Antonucci, A (2019). NOVEL2GRAPH: Visual Summaries of Narrative Text Enhanced by Machine Learning. Text2Story@ ECIR.
  • Volpetti, C., Vani, K, and Antonucci, A (2020). Temporal Word Embeddings for Narrative Understanding. ICMLC.
  • Vani, K., & Gupta, D. (2018). Unmasking text plagiarism using syntactic-semantic based natural language processing techniques: Comparisons, analysis and challenges. Information Processing & Management, 54(3), 408-432. doi: 10.1016/j.ipm.2018.01.008
  • Vani, K., & Gupta, D. (2018). Integrating syntax‐semantic‐based text analysis with structural and citation information for scientific plagiarism detection. Journal of the Association for Information Science and Technology, 69(11), 1330-1345. DOI: 10.1002/asi.24027
  • Vani, K., & Gupta, D. (2017). Detection of idea plagiarism using syntax–semantic concept extractions with genetic algorithm. Expert Systems with Applications, 73,11-26. doi: 10.1016/j.eswa.2016.12.022
  • Vani, K., & Gupta, D. (2017). Detection of idea plagiarism using syntax–semantic concept extractions with genetic algorithm. Expert Systems with Applications, 73, 11-26. doi: 10.1016/j.eswa.2016.12.022
  • Vani, K., & Gupta, D. (2016). ASE@ DPIL-FIRE2016: Hindi Paraphrase Detection using Natural Language Processing Techniques & Semantic Similarity Computations. In FIRE (Working Notes) (pp. 244-249)
  • Vani, K., & Gupta, D. (2016). Study on Extrinsic Text Plagiarism Detection Techniques and Tools. Journal of Engineering Science & Technology Review, 9(5).

Contact

E-Mail: vanik AT idsia.ch

NLP group page

Author: Vani Kanjirangat

Created: 2020-09-18 Fri 21:29

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