Extractive Text Summarization Using Two-Layered RBM

S Sangeetha, P Kavya, N Dhaksana, A Harshini, A Maria Nivetha

International Conference on Advances in Data-driven Computing and · 2024

The question behind it

What can a model see that a person cannot?

Projects I have run with undergraduate teams: infection detection in mushroom farms, solar output under cloud cover, fake review and fake news detection, gesture recognition, text summarisation, and carbon-efficient inference in large language models.

A plain-language summary of this paper is on its way here. The full text will follow wherever the publisher permits me to host it.

Cite this paper

@inproceedings{sangeetha2024extractive,
  title   = {Extractive Text Summarization Using Two-Layered RBM},
  author  = {S Sangeetha and P Kavya and N Dhaksana and A Harshini and A Maria Nivetha},
  booktitle = {International Conference on Advances in Data-driven Computing and},
  year    = {2024},
  doi     = {10.1007/978-981-96-3652-5_24},
  url     = {https://doi.org/10.1007/978-981-96-3652-5_24},
}

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