Automated Citation Function Classification and Context Extraction in Astrophysics: Leveraging Paraphrasing and Question Answering
Hariram Veeramani, Surendrabikram Thapa, Usman Naseem · 2023
Scientific research relies heavily on the exchange of knowledge through citations in academic literature.In the domain of astrophysics, the precise classification of citation functions and the extraction of contextual information are critical for understanding the vast universe of research papers.This paper presents the system description for the WIESP 2023 FOCAL shared task.We introduce an automated approach that leverages state-of-the-art language models, including ALBERT, RoBERTa, BERT, and DistillBERT, to classify citation functions and extract context within astrophysical paragraphs.Our system combines paraphrasing and question-answering techniques to achieve accurate results.Through comprehensive experiments, we demonstrate the robustness of our approach, with ALBERT consistently delivering strong performance.