We propose a new language learning model that learns a syntactic-semantic grammar from a small number of natural language strings annotated with their semantics, along with basic ...
This paper demonstrates how machine learning methods can be applied to deal with a realworld decipherment problem where very little background knowledge is available. The goal is ...
Presently, no methods exist that support the creation process of an industry taxonomy within a specific domain. Without such a method, taxonomies remain erroneous, making the deve...
Ivo Hunink, Rene van Erk, Slinger Jansen, Sjaak Br...
We demonstrate a new research approach to the problem of predicting the reading difficulty of a text passage, by recasting readability in terms of statistical language modeling. W...
Abstract. Since the advent of model checking it is becoming more common for languages to be given a semantics in terms of transition systems. Such semantics allow to model check pr...