I am Samiha Shafiq Anuva, a Research Engineer at the Intelligent Visualization Lab at York University, with a Bachelor’s degree in Computer Science and Engineering from the Islamic University of Technology. My research interests lie at the intersection of NLP and HCI, where I focus on creating intelligent, accessible interfaces that bridge human and machine communication. My work spans areas like language model evaluation, user-centered design, and data visualization. Recently, I published a paper on poem summarization at EMNLP 2023, introducing a unique dataset and benchmark for understanding creative language in AI. Here, you’ll find details about my projects, publications, and ongoing research aimed at advancing adaptive and inclusive technologies.

Selected Publication

1. Unveiling the essence of poetry: Introducing a comprehensive dataset and benchmark for poem summarization
   Publication date: December, 2023
   Conference: Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP)
   This work benchmarks the creative language understanding and summarizing capacity of language models and highlights numerous short-comings of prevalent text summarization models.
2. A comparative analysis of efficient convolutional neural network based methods for plant disease classification
   Publication date: December, 2022
   Conference: 2022 25th international conference on computer and information technology (ICCIT)
   The work delves into the complexities of plant disease classification, covering aspects such as available datasets, transfer learning, and a comparative analysis of lightweight CNN models for leaf disease.