Wisdom of Crowds vs. Wisdom of Linguists
This event took place on Wednesday 08 December 2010 at 11:30
Dr. Torsten Zesch Ubiquitous Knowledge Processing lab, TU Darmstadt, Germany
Computing the semantic relatedness between words is a pervasive task in natural language processing. So far, insufficient coverage of linguistic knowledge resources has been a major impediment for using semantic relatedness measures in large-scale applications. Recently, rapidly growing collaboratively constructed resources like Wikipedia and Wiktionary have been discovered as a new kind of semantic resource.
In the talk, I will shortly introduce these new resources and show how existing semantic relatedness measures can be adapted to the new resources. I will then compare the performance of traditional resources (Wisdom of Linguists) with that of the new resources (Wisdom of Crowds), and show under which conditions collaboratively constructed semantic resources can be used as a proxy for linguistically constructed semantic resources.
Additionally, I will introduce freely available application programming interfaces to Wikipedia and Wiktionary that have been used to conduct the experiments described in my talk.
This event took place on Wednesday 08 December 2010 at 11:30
Computing the semantic relatedness between words is a pervasive task in natural language processing. So far, insufficient coverage of linguistic knowledge resources has been a major impediment for using semantic relatedness measures in large-scale applications. Recently, rapidly growing collaboratively constructed resources like Wikipedia and Wiktionary have been discovered as a new kind of semantic resource.
In the talk, I will shortly introduce these new resources and show how existing semantic relatedness measures can be adapted to the new resources. I will then compare the performance of traditional resources (Wisdom of Linguists) with that of the new resources (Wisdom of Crowds), and show under which conditions collaboratively constructed semantic resources can be used as a proxy for linguistically constructed semantic resources.
Additionally, I will introduce freely available application programming interfaces to Wikipedia and Wiktionary that have been used to conduct the experiments described in my talk.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
New Media Systems is...
Our New Media Systems research theme aims to show how new media devices, standards, architectures and concepts can change the nature of learning.
Our work involves the development of short life-cycle working prototypes of innovative technologies or concepts that we believe will influence the future of open learning within a 3-5 year timescale. Each new media concept is built into a working prototype of how the innovation may change a target community. The working prototypes are all available (in some form) from this website.
Our prototypes themselves are not designed solely for traditional Open Learning, but include a remit to show how that innovation can and will change learning at all levels and in all forms; in education, at work and play.
List all New Media Systems Projects
Check out these Hot New Media Systems Technologies:
List all New Media Systems Technologies
