Keyword Extraction in Scientific Documents
This work targets researchers and analysts needing to manage large volumes of scientific literature, but it appears incremental as it provides a workshop overview rather than a novel solution.
The paper addresses the challenge of tracking trends in exponentially growing scientific publications by focusing on keyword and keyphrase extraction from abstracts, aiming to improve understanding for downstream tasks like knowledge graph building and text mining.
The scientific publication output grows exponentially. Therefore, it is increasingly challenging to keep track of trends and changes. Understanding scientific documents is an important step in downstream tasks such as knowledge graph building, text mining, and discipline classification. In this workshop, we provide a better understanding of keyword and keyphrase extraction from the abstract of scientific publications.