The NLP systems often have low performances because they rely on unreliable and heterogeneous knowledge. We show on the task of non-anaphoric it identification how to overcome the...
We describe the application of kernel methods to Natural Language Processing (NLP) problems. In many NLP tasks the objects being modeled are strings, trees, graphs or other discre...
This paper presents O’KLAIM (Object-Oriented KLAIM), a linguistic extension of the higher-order calculus for mobile processes KLAIM with objectoriented features. Processes intera...
The Constraint Language for Lambda Structures (CLLS) is an expressive tree description language. It provides a uniform framework for underspecified semantics, covering scope, ell...
By modeling dynamic join points, pointcuts, and advice in a defunctionalized continuation-passing style interpreter, we provide a fundamental account of these AOP mechanisms. Dyna...