When disyllabic words of Chinese are compounded, truncation often applies to yield a disyllabic output that draws one syllable from each of the contributing words, e.g., xiàdiē + fúdù → xiàdiē + fúdù → diēfú. A substantial portion of new words enter Chinese via this process, and all combinations of four underlying syllables are attested in disyllabic neologisms. Variation in which syllable of t...

The Aristotelian square of oppositions is a well-known diagram in logic and linguistics. In recent years, several extensions of the square have been discovered. However, these extensions have failed to become as widely known as the square. In this paper we argue that there is indeed a fundamental difference between the square and its extensions, viz., a difference in informativity. To do this, ...

This paper establishes identifiability and informativity conditions for a class of deterministic linearly parametrized rational models. The class considered is rational in the states and polynomial in the inputs. The standard definitions of identifiability and informativity for linear systems are expanded to account for the situation, common for nonlinear deterministic systems, where the identi...

We undertook a user study to evaluate whether the perceived utility of some common open data sets for family doctors would increase if they are rendered in interactive heat maps. We also investigated whether Parallel Coordinates (PC) are perceived as a convenient diagram to summarize multiple patients data; and whether making PCs interactive would increase their informativity. We interviewed 29...

Recently, quantitative notions of relevance have been proposed for questions and assertions and, based on an assumption of optimal relevance, used for linguistic applications. BarHillel and Carnap’s (1953) notion of informativity (their ‘inf’ value) has already been used in traditional pragmatics of natural language; Merin (1999a,b) proposes that the relevance of a proposition q should be seen ...

This paper explores new approaches to active learning (AL) for semantic role labeling (SRL), focusing in particular on combining typical informativity-based sampling strategies with a novel measure of representativeness based on compressed dependency trees (CDTs). In essence, the compressed representation encodes the target predicate and the key dependents of the verb complex in the sentence. W...

Modeling and control of dynamical systems rely on measured data, which contains information about the system. Finite data measurements typically lead to a set system models that are unfalsified, i.e., explain data. The problem data-informativity for stabilization or with quadratic performance is concerned existence controller stabilizes all unfalsified achieves desired performance. Recent resul...