We demonstrate that log-linear grammars with latent variables can be practically trained using discriminative methods. Central to efficient discriminative training is a hierarchi...
We describe the modification of a grammar to take advantage of prosodic information provided by a speech recognition system. This initial study is limited to the use of relative d...
Programmers tend to avoid using language tools, resorting to ad-hoc methods, because tools can be hard to use, their parsing strategies can be difficult to understand and debug, a...
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
Background: We study the adaptation of Link Grammar Parser to the biomedical sublanguage with a focus on domain terms not found in a general parser lexicon. Using two biomedical c...
Sampo Pyysalo, Tapio Salakoski, Sophie Aubin, Adel...