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The sciqa scientific question answering benchmark for scholarly knowledge
Abstract Knowledge graphs have gained increasing popularity in the last decade in science
and technology. However, knowledge graphs are currently relatively simple to moderate …
and technology. However, knowledge graphs are currently relatively simple to moderate …
Divide and conquer the EmpiRE: a community-maintainable knowledge graph of empirical research in requirements engineering
[Background.] Empirical research in requirements engineering (RE) is a constantly evolving
topic, with a growing number of publications. Several papers address this topic using …
topic, with a growing number of publications. Several papers address this topic using …
KG-EmpiRE: A Community-Maintainable Knowledge Graph for a Sustainable Literature Review on the State and Evolution of Empirical Research in Requirements …
O Karras - 2024 IEEE 32nd International Requirements …, 2024 - ieeexplore.ieee.org
In the last two decades, several researchers provided snapshots of the “current” state and
evolution of empirical research in requirements engineering (RE) through literature reviews …
evolution of empirical research in requirements engineering (RE) through literature reviews …
Large language models for scientific information extraction: An empirical study for virology
In this paper, we champion the use of structured and semantic content representation of
discourse-based scholarly communication, inspired by tools like Wikipedia infoboxes or …
discourse-based scholarly communication, inspired by tools like Wikipedia infoboxes or …
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark
The SciQA benchmark for scientific question answering aims to represent a challenging task
for next-generation question-answering systems on which vanilla large language models …
for next-generation question-answering systems on which vanilla large language models …
Food information engineering
Food information engineering relies on statistical and AI techniques (eg, symbolic,
connectionist, and neurosymbolic AI) for collecting, storing, processing, diffusing, and putting …
connectionist, and neurosymbolic AI) for collecting, storing, processing, diffusing, and putting …
SciKGTeX-a LaTeX package to semantically annotate contributions in scientific publications
Scientific knowledge graphs have been proposed as a solution to structure the content of
research publications in a machine-actionable way and enable more efficient, computer …
research publications in a machine-actionable way and enable more efficient, computer …
An approach based on open research knowledge graph for knowledge acquisition from scientific papers
Purpose This paper aims to curate open research knowledge graph (ORKG) with papers
related to ontology learning and define an approach using ORKG as a computer-assisted …
related to ontology learning and define an approach using ORKG as a computer-assisted …
SWARM-SLR-Streamlined Workflow Automation for Machine-Actionable Systematic Literature Reviews
Authoring survey or review articles still requires significant tedious manual effort, despite
many advancements in research knowledge management having the potential to improve …
many advancements in research knowledge management having the potential to improve …
DataDesc: A framework for creating and sharing technical metadata for research software interfaces
The reuse of research software is central to research efficiency and academic exchange.
The application of software enables researchers to reproduce, validate, and expand upon …
The application of software enables researchers to reproduce, validate, and expand upon …