Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Frans Coenen"'
Publikováno v:
Proceedings of the 11th on Knowledge Capture Conference
K-CAP
K-CAP
Whilst Knowledge Graphs (KGs) are increasingly used in business scenarios, the construction of enterprise ontologies and the population of KGs from existing relational data remains a significant challenge. In this paper we report our experience in su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bcba2d27abefa1c461af6e1d4e74f145
http://livrepository.liverpool.ac.uk/3142369/1/KCAP2021-091.pdf
http://livrepository.liverpool.ac.uk/3142369/1/KCAP2021-091.pdf
Publikováno v:
ICAIL
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law
Coherent division of legal document bundles, whether this is done in the context of court bundles, briefs or some other application, is a time consuming and challenging task. We propose an approach whereby this process can be automated. Two variation
Publikováno v:
CCS
This work tries to evaluate the existing approaches used to benchmark the performance of machine learning models applied to network-based intrusion detection systems (NIDS). First, we demonstrate that we can reach a very high accuracy with most of th
Autor:
Katie Atkinson, Karl Chapman, Danushka Bollegala, Frans Coenen, Claire Roberts, Katy Robson, Matias Garcia-Constantino
Publikováno v:
ICAIL
The effectiveness of document Information Extraction (IE) is greatly affected by the structure and layout of the documents being considered. In the case of legal documents relating to commercial law, an additional challenge is the many different and
Publikováno v:
ICAIL
The paper proposes a framework---the Debate Graph Extraction (DGE) framework---for extracting debate graphs from transcripts of political debates. The idea is to represent the structure of a debate as a graph with speakers as nodes and "exchanges" as