Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-2988). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3105). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3226). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3424). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
Deep Universal Dependencies is a collection of treebanks derived semi-automatically from Universal Dependencies (http://hdl.handle.net/11234/1-3687). It contains additional deep-syntactic and semantic annotations. Version of Deep UD corresponds to the version of UD it is based on. Note however that some UD treebanks have been omitted from Deep UD.
I argue that the conception of reflective equilibrium that is generally accepted in contemporary philosophy is defective and should be replaced with a conception of fruitful reflective disequilibrium which prohibits ad hoc manoeuvres, encourages new approaches, and eschews all justification in favour of continuous improvement. I suggest how the conception of fruitful disequilibrium can be applied more effectively to moral enquiry, to encourage genuine progress in moral knowledge, if we make moral theory empirically testable by adopting a meta-ethical postulate which is independently plausible., Tvrdím, že pojetí reflexní rovnováhy, které je v současné filosofii obecně akceptováno, je vadné a mělo by být nahrazeno pojetím plodné reflexní nerovnováhy, která zakazuje ad hoc manévry, podporuje nové přístupy a vyhýbá se veškerému ospravedlnění ve prospěch neustálého zlepšování. Navrhuji, jak lze koncepci plodné nerovnováhy efektivněji aplikovat na morální zkoumání, povzbudit skutečný pokrok v morálních znalostech, pokud učiníme morální teorii empiricky testovatelnou přijetím meta-etického postulátu, který je nezávisle věrohodn, and Danny Frederick
I consider and reject a specific criticism advanced by Korsgaard against virtue ethics and epistemology when these are conceived with the help of what she calls the image of the “Good Dog.” I consider what virtue ethics and epistemology would look like if the Good Dog picture of virtues were largely correct. I argue that attention to the features that make Korsgaard undermine the usefulness of virtues when conceived along the lines of the Good Dog picture reveals the opposite of what she claims. On the Good Dog picture, virtue ethics and epistemology are seen as more promising approaches to rationality than Korsgaard’s own advocacy of reflection.
The runoff coefficient (RC) is widely used despite requiring to know the effective contributing area, which cannot be known a priori. In a previous work, we defined runoff length (RL), which is difficult to measure. This work aimed to define the minimum RL (mRL), a quantitative and easy proxy of RL, for use in a pilot study on biocrusts in the Tabernas Desert, Spain. We show that RC decreases according to a hyperbola when the contributing area increases, the independent variable being the length of the effective contributing area and its coefficient involving the effects of rainfall and surface features and antecedent conditions. We defined the mRL as the length of the effective contributing area making RC = 1, which is calculated regardless of the area. We studied mRL from three biocrust types and 1411 events clustered in seven categories. The mRL increased with rain volume and intensity, catchment area and slope, whereas plant cover and biocrust succession (with one exception) had a negative effect. Depending on the plot, mRL reached up 3.3–4.0 m on cyanobacterial biocrust, 2.2–7.5 m on the most widespread lichens, and 1.0–1.5 m on late-successional lichens. We discuss the relationships of mRL with other runoff-related parameters.