We introduce a novel approach for building language models based on a systematic, recursive exploration of skip n-gram models which are interpolated using modified Kneser-Ney smoothing. Our approach generalizes language models as it contains the classical interpolation with lower order models as a special case.
In this talk I will give a brief overview of my past research activity and delineate my future research at WeST.
This talk looks at how the parameters of a complex network model may be estimated. Specifically, I examine the application of Approximate Bayes Computation as an alternative to likelihood or link based techniques.
In the context of open and distributed innovation companies make use of technological developments that occur beyond their legal boundaries. To facilitate these developments firms dedicate resources, e.g. to open source software projects, such as the Linux kernel project, through their employees, which are active in and part of the community.
Manually selecting subsets of photos from large collections in order to present them to friends or colleagues or to print them as photo books can be a tedious task.
KONECT (The Koblenz Network Collection) ist ein Projekt, das verschiedene Netzwerkdatensätze sammelt und mit Werkzeugen der Netzwerkanalyse Netzwerkstatistiken berechnet, repräsentative Diagramme darstellt, und verschiedene Linkvorhersagealgorithmen implementiert.
We introduce an algorithm currently studied by us for relationship query over large relationship graphs, which can be considered from algorithmic point of view as a Steiner Tree problem. The algorithm runs in two phases. In the first phase, it tries to quickly build a first tree that interconnects all nodes from a graph.
We introduce an algorithm for generating graphs that reproduces properties of input graphs to a very high precision, using as information only six subgraph counts.
In our current ICWSM submission we investigated temporal patterns of change in linked knowledge bases. In today's connected world of social media, linked knowledge bases such as Wikipedia play a fundamental role.
Tweety is an open source project for scientific experimentation on logical aspects of artificial intelligence and particularly knowledge representation.