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DATAMOSH VOL. 1 COMPILATION - https://bnd.lc/datamosh_vol1

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proactively exploiting market positioning models through distinctively procrastinating frictionless collaborations and idea-sharing, monotonectally restoring accurate infrastructures built for interactively creating vertical opportunities towards assertively cultivating raw minerals and scraps of rusted metal, and applying them surgically to the sides of your head, by yourself alone in the dark

i. sense discrimination for particle verbs, particles and simplex verbs (including the base verbs with regard to the chosen particle verbs); 
and
ii. identification of regular meaning shifts and the conditions that trigger the meaning shifts.

Concerning (i), our work is interdisciplinary, combining (A) theoretical considerations about salient meaning components with (B) empirical evidence from psycholinguistic experiments and (C) computational models with a strong focus on distributional information and soft clustering methods to represent and disambiguate contextual ambiguity. 

Concerning (ii), we aim to incorporate the empirical sense properties into computational models that identify regular polysemy regarding PV-BV meaning shifts via analogy. Importantly, we are not only interested in the identification of the meaning shifts per se, but in addition we aim to determine the conditions of the meaning shifts, i.e. the meaning components of the particle verbs and their constituents that trigger the meaning shifts, such as subcategorisation behaviour at the syntax-semantics interface; contextual indicators of abstract vs. concrete contexts; domain information; aspect; etc. As a side-product of meaning shift identification, we will address compositionality: one type of meaning shift is a non-shift with strong PV-BV overlap and a prototypical particle meaning. 

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things are worse than they look

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