Order:
  1. Organisations as Computing Systems.David Strohmaier - 2020 - Journal of Social Ontology 6 (2):211-236.
    Organisations are computing systems. The university’s sports centre is a computing system for managing sports teams and facilities. The tenure committee is a computing system for assigning tenure status. Despite an increasing number of publications in group ontology, the computational nature of organisations has not been recognised. The present paper is the first in this debate to propose a theory of organisations as groups structured for computing. I begin by describing the current situation in group ontology and by spelling out (...)
    Download  
     
    Export citation  
     
    Bookmark   1 citation  
  2. Contrafactives and Learnability.Simon Wimmer & David Strohmaier - 2022 - In Marco Degano, Tom Roberts, Giorgio Sbardolini & Marieke Schouwstra (eds.), Proceedings of the 23rd Amsterdam Colloquium. pp. 298-305.
    Richard Holton has drawn attention to a new semantic universal, according to which (almost) no natural language has contrafactive attitude verbs. This semantic universal is part of an asymmetry between factive and contrafactive attitude verbs. Whilst factives are abundant, contrafactives are scarce. We propose that this asymmetry is partly due to a difference in learnability. The meaning of contrafactives is significantly harder to learn than that of factives. We tested our hypothesis by conducting a computational experiment using an artificial neural (...)
    Download  
     
    Export citation  
     
    Bookmark  
  3. SeCoDa: Sense Complexity Dataset.David Strohmaier, Sian Gooding, Shiva Taslimipoor & Ekaterina Kochmar - 2020 - Proceedings of the 12Th Language Resources and Evaluation Conference.
    The Sense Complexity Dataset (SeCoDa) provides a corpus that is annotated jointly for complexity and word senses. It thus provides a valuable resource for both word sense disambiguation and the task of complex word identification. The intention is that this dataset will be used to identify complexity at the level of word senses rather than word tokens. For word sense annotation SeCoDa uses a hierarchical scheme that is based on information available in the Cambridge Advanced Learner’s Dictionary. This way we (...)
    Download  
     
    Export citation  
     
    Bookmark