Back to search

Article

Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge Graph

2024-05-02

Abstract excerpt

Structured science summaries or research contributions using properties or dimensions beyond traditional keywords enhances science findability. Current methods, such as those used by the Open Research Knowledge Graph (ORKG), involve manually curating properties to describe research papers' contributions in a structured manner, but this is labor-intensive and inconsistent between the domain expert human curato...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
e5fa737f-0969-59c3-bd8b-402879f56603
DOI
10.20944/preprints202405.0124.v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Evaluating Large Language Models for Structured Science Summarization in the Open Research Knowledge GraphDOI 10.20944/preprints202405.0124.v1
Select a neighboring publication to make it the new centre.