•  625
    In this paper we look at the manual analysis of arguments and how this compares to the current state of automatic argument analysis. These considerations are used to develop a new approach combining a machine learning algorithm to extract propositions from text, with a topic model to determine argument structure. The results of this method are compared to a manual analysis.
  •  40
    Objective—To determine the objectivity, consistency and professional unanimity in the initiation, continuation and withdrawal of life-prolonging procedures in intensive care–to determine methods, time-scale for withdrawal and communication with both staff and relatives–to explore any professional unease about legality, morality or professional defensibility.Design—A structured questionnaire directed at clinical nurse managers for intensive care.Setting—All intensive care units in the Yorkshire r…Read more
  •  437
    Multi-level computational methods for interdisciplinary research in the HathiTrust Digital Library
    with Jaimie Murdock, Colin Allen, Katy Börner, Robert Light, Simon McAlister, Robert Rose, Doori Rose, Jun Otsuka, David Bourget, John Lawrence, and Chris Reed
    PLoS ONE 12 (9). 2017.
    We show how faceted search using a combination of traditional classification systems and mixed-membership topic models can go beyond keyword search to inform resource discovery, hypothesis formulation, and argument extraction for interdisciplinary research. Our test domain is the history and philosophy of scientific work on animal mind and cognition. The methods can be generalized to other research areas and ultimately support a system for semi-automatic identification of argument structures. We…Read more