This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
Incremental natural language understanding is the task of assigning semantic representations to successively larger prefixes of utterances. We compare two types of statistical mod...
Architectural description languages are a useful tool for modeling complex systems at a high level of abstraction. If based on formal methods, they can also serve for enabling the...
Is there a general model that can predict the perceived phrase structure in language and music? While it is usually assumed that humans have separate faculties for language and mu...
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...