In existing literature, little attention has been paid to the problems of how the uncertainty reflected by natural language text (e.g. verbal and linguistic uncertainty) can be explicitly formulated in argumentation schemes, and how argumentation schemes enriched with various types of uncertainty can be exploited to support argumentation mining and evaluation. In this paper, we focus on the fir...

Doug, Will and I are on the same page about the need for quantitative models to address this problem, and I commend them for taking this forward. However, at the last SWG meeting on 13 January I felt that Doug made claims about his and Will’s modeling approach that I felt were not warranted. The first was that they are fully accounting for all sources of uncertainty. An important source of unce...

Uncertainty is ubiquitous in natural human communication. Human listeners assess the speaker’s degree of uncertainty at any time in communication and use this information to shape dialogue. In contrast, currently available computer systems dealing with spoken language are usually not built to perform this task. The ability to detect uncertainty would likely lead to more natural human-computer d...

This paper introduces the paradigm of optimization under uncertainty for modelling and solving matrix nearness problems. In particular, it considers the concrete problem of recovering correlation matrices from uncertain observations by introducing two different approaches to tackling uncertainty. The first approach invokes the framework of robust optimization to construct low error solutions th...

intolerance of uncertainty (iu) is increasingly conceptualized as a transdiagnostic factor underlying anxiety disorders and depression. current understanding of the relationship between intolerance of uncertainty and specific obsessive compulsive symptom domains remains limited. the purpose of the present study was to explore the prevalence of obsessive compulsive beliefs and intolerance of unc...

Background: Polymer gel dosimeters combined with magnetic resonance imaging (MRI) can be used for dose verification of advanced radiation therapy techniques. However, the uncertainty of dose map measured by gel dosimeter should be known. The purpose of this study is to investigate the uncertainty related to calibration curve and MRI protocol for MAGIC (Methacrylic and Ascorbic acid in Gelatin I...

Uncertainty reduction has a major role in communication theory of relational development. Two competing theories, Berger and Calabrese’s (1975) uncertainty reduction theory (URT) and Sunnafrank’s (1986) predicted outcome value (POV), provide different perspectives on the uncertainty reduction process during initial interactions. Research suggests that when forming a first impression, negative i...

uncertainty associated with mixing models is often substantial, but has not yet been fully incorporated in models. the objective of this study is to develop and apply a bayesian-mixing model that estimates probability distributions of source contributions to a mixture associated with multiple sources for assessing the uncertainty estimation in sediment fingerprinting in zidasht catchment, iran....

Failure to timely identify the occurrence of various shocks in the foreign exchange market due to the close relationship with the monetary, macroeconomic, and financial uncertainty can lead to crises and imbalances. In this paper, the effect of exchange rate and investor confidence on monetary and economic uncertainty in Iran is investigated, specifying a Multivariate GARCH model and the Grange...