21 citations · 44 across the 7 of their papers we have counts for
7 papers
Weakly-supervised Contextualization of Knowledge Graph Facts
Nikos Voskarides, Edgar Meij, Ridho Reinanda +5
Knowledge graphs (KGs) model facts about the world, they consist of nodes (entities such as companies and people) that are connected by edges (relations such as founderOf). Facts e…
Randomised Relevance Model
Dominik Wurzer, Miles Osborne, Victor Lavrenko
Relevance Models are well-known retrieval models and capable of producing competitive results. However, because they use query expansion they can be very slow. We address this slow…
I Wish I Didn't Say That! Analyzing and Predicting Deleted Messages in Twitter
Sasa Petrovic, Miles Osborne, Victor Lavrenko
Twitter has become a major source of data for social media researchers. One important aspect of Twitter not previously considered are {\em deletions} -- removal of tweets from the…
Learning Computational Grammars
John Nerbonne, Anja Belz, Nicola Cancedda +7
This paper reports on the "Learning Computational Grammars" (LCG) project, a postdoc network devoted to studying the application of machine learning techniques to grammars suitable…
Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
Miles Osborne
We argue that some of the computational complexity associated with estimation of stochastic attribute-value grammars can be reduced by training upon an informative subset of the fu…
Learning Unification-Based Natural Language Grammars
Miles Osborne
When parsing unrestricted language, wide-covering grammars often undergenerate. Undergeneration can be tackled either by sentence correction, or by grammar correction. This thesis…