Publications by authors named "Mudasir Mohd"
Background: Text summarization is a challenging problem in Natural Language Processing, which involves condensing the content of textual documents without losing their overall meaning and information content, In the domain of bio-medical research, summaries are critical for efficient data analysis and information retrieval. While several bio-medical text summarizers exist in the literature, they often miss out on an essential text aspect: text semantics.
Results: This paper proposes a novel extractive summarizer that preserves text semantics by utilizing bio-semantic models.