Extracting Core Claims from Scientific Articles

TL;DR

This paper introduces an approach to automatically extract and normalize core scientific claims into AIDA sentences, aiming to help researchers stay updated amidst rapidly growing literature.

Contribution

It presents a novel method for detecting and transforming scientific claims into a structured controlled language, AIDA, facilitating better organization of scientific knowledge.

Findings

Extraction steps are feasible despite current imperfections

AIDA sentences can be automatically generated from scientific articles

The approach shows promise for improving scientific communication

Abstract

The number of scientific articles has grown rapidly over the years and there are no signs that this growth will slow down in the near future. Because of this, it becomes increasingly difficult to keep up with the latest developments in a scientific field. To address this problem, we present here an approach to help researchers learn about the latest developments and findings by extracting in a normalized form core claims from scientific articles. This normalized representation is a controlled natural language of English sentences called AIDA, which has been proposed in previous work as a method to formally structure and organize scientific findings and discourse. We show how such AIDA sentences can be automatically extracted by detecting the core claim of an article, checking for AIDA compliance, and - if necessary - transforming it into a compliant sentence. While our algorithm is still far from perfect, our results indicate that the different steps are feasible and they support the claim that AIDA sentences might be a promising approach to improve scientific communication in the future.