Results 291 to 300 of about 374,550 (337)
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Predicting Grammaticality on an Ordinal Scale
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014Automated methods for identifying whether sentences are grammatical have various potential applications (e.g., machine translation, automated essay scoring, computer-assisted language learning). In this work, we construct a statistical model of grammaticality using various linguistic features (e.g., misspelling counts, parser outputs, n-gram language ...
Michael Heilman +5 more
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2009
We consider aggregation of multiple criteria evaluations expressed on qualitative ordinal scales, which means representation of multiple criteria preferences using finite sets of values, such as “bad”, “medium”, “good”, or “weak”, “normal”, “strong”. The evaluation scales regarding single criteria, as well as comprehensive evaluations, are qualitative.
Salvatore Greco +2 more
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We consider aggregation of multiple criteria evaluations expressed on qualitative ordinal scales, which means representation of multiple criteria preferences using finite sets of values, such as “bad”, “medium”, “good”, or “weak”, “normal”, “strong”. The evaluation scales regarding single criteria, as well as comprehensive evaluations, are qualitative.
Salvatore Greco +2 more
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IDEMPOTENT UNINORMS ON FINITE ORDINAL SCALES
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2009In this paper we characterize all idempotent uninorms defined on a finite ordinal scale. It is proved that any such discrete idempotent uninorm is uniquely determined by a decreasing function from the set of scale elements not greater than the neutral element to the set of scale elements not smaller than the neutral element, and vice versa.
Bernard De Baets +3 more
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Ordinal scale based uncertainty models for AI
Information Fusion, 2020Abstract In human processed AI, HP-AI, we build our AI systems based on knowledge learned by human experts rather then that learned by artificial neural networks such as in the case of deep learning. The information provided by these human experts is typically linguistically expressed. In support of HP-AI we look at the properties of an ordinal scale,
Ronald R Yager
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Pediatrics, 1987
Ordinal scales are frequently used in clinical trials to quantify outcomes which are non-dimensional [for example 1+ to 4+ system for assessing peripheral oedema].... Guidelines for construction and utilisation of ordinal scales as measures of outcome in clinical trials have not been formulised. In this paper a set of standards are developed.
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Ordinal scales are frequently used in clinical trials to quantify outcomes which are non-dimensional [for example 1+ to 4+ system for assessing peripheral oedema].... Guidelines for construction and utilisation of ordinal scales as measures of outcome in clinical trials have not been formulised. In this paper a set of standards are developed.
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On Preference Representation on an Ordinal Scale
2001We present in this paper an attempt to deal with ordinal information in a strict ordinal framework. We address the problem of ranking alternatives in a multiple criteria decision making problem by the use of a compensatory aggregation operator, where scores are given on a finite ordinal scale.
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Treating Ordinal Scales as Interval Scales
Nursing Research, 1990Ever since the Harvard psychologist S. S. Stevens (1946) advanced his ideas concerning the connections between measurement scales and statistical analysis, there has been a continuing controversy regarding the use of traditional descriptive and inferential statistics for ordinal-level variables.
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LSOMP: Large Scale Ordinance Mining Portal
2020 IEEE International Conference on Big Data (Big Data), 2020We propose a novel scalable Web portal called LSOMP (Large Scale Ordinance Mining Portal) to analyze ordinances and their tweets (of the order of thousands and millions). It entails commonsense knowledge (CSK) and natural language processing (NLP), disseminating ordinance-tweet mining results via interactive graphics and Question Answering (QA).
Xu Du +3 more
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Categorical Judgment Scaling with Ordinal Assumptions
Multivariate Behavioral Research, 1984One of the most common activities of psychologists and other researchers is to construct Likert scales and then proceed to analyze them as if the numbers constituted an equal interval scale. There are several alternatives to this procedure (Thurstone & Chave, 1929; Muthen, 1983) that make normality assumptions but which do not assume that the answer ...
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Evaluating quality measured on a ternary ordinal scale
Quality and Reliability Engineering International, 2008AbstractThis paper deals with the evaluation of process/product quality measured via a ternary ordinal scale. Recently, a new approach for dealing with ordinal quality variables, based on constructing a quality ladder using rank and dispersion criterion, was proposed.
Emil Bashkansky, Tamar Gadrich
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