Argumentation Mining in Scientific Literature for Sustainable Development

• DOI: 10.18653/v1/2021.argmining-1.10
• Publication Date: 2021-12-28T12:24:05Z
• Authors: Aris Fergadis; Dimitris Pappas; Antonia Karamolegkou; Haris Papageorgiou
• Keywords: Argumentative; Identification

Science, technology and innovation (STI) policies have evolved in the past decade. We are now progressing towards that more aligned with sustainable development through integrating social, economic environmental dimensions. In this new policy environment, need to keep track of from its conception Science Research has emerged. Argumentation mining, an interdisciplinary NLP field, gives rise required technologies. study, we present first STI-driven multidisciplinary corpus scientific abstracts annotated for argumentative units (AUs) on goals (SDGs) set by United Nations (UN). AUs sentences conveying Claim(s) reported author’s original research Evidence provided support. also a strong, BERT-based neural baselines achieving f1-score 70.0 Claim 62.4 identification evaluated 10-fold cross-validation. To demonstrate effectiveness our models, experiment different test sets showing comparable performance across various SDG domains. Our dataset models publicly available purposes.