Search Results for author: Ewan Klein

Found 11 papers, 0 papers with code

Integrating Know-How into the Linked Data Cloud

no code implementations15 Apr 2016 Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, Adam Barker

We describe a framework for representing generic know-how as Linked Data and for automatically acquiring this representation from existing resources on the Web.

A Linked Data Scalability Challenge: Concept Reuse Leads to Semantic Decay

no code implementations5 Mar 2016 Paolo Pareti, Ewan Klein, Adam Barker

In this paper we focus on a measure of quality which is negatively affected by the increase of the available resources.

A Semantic Web of Know-How: Linked Data for Community-Centric Tasks

no code implementations29 Oct 2014 Paolo Pareti, Ewan Klein, Adam Barker

This paper proposes a novel framework for representing community know-how on the Semantic Web.

Learning Vague Concepts for the Semantic Web

no code implementations19 Oct 2014 Paolo Pareti, Ewan Klein

Ontologies can be a powerful tool for structuring knowledge, and they are currently the subject of extensive research.

Re-using an Argument Corpus to Aid in the Curation of Social Media Collections

no code implementations LREC 2014 Clare Llewellyn, Claire Grover, Oberl, Jon er, Ewan Klein

It is also noted that when learning argumentation classes we must be aware that the classes will most likely be of very different sizes and this must be kept in mind when analysing the results.

Argument Mining BIG-bench Machine Learning

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