Sentence examples for classification of answers from inspiring English sources

Exact(2)

Step 2: Classification of answers by independent judges.

Classification of answers was done with a 5-point Likert scale.

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We favoured an impartial, automated classification of the answers based on our training set.

Table 2 Classification of the answers to the question "What kind of information do you expect from a tsunami warning system?" Time available for evacuation Where to go (mountain, ferry and beyond, refuge areas) Explanations on the event Behavior to be adopted Other informations (on alert, contacts, controls) Which roads ?

To test the utility of the lexical classifications, we used the lexical categories of each student's answer as independent variables in a discriminant analysis (Spicer, 2005), with the expert classification of the student answers as the dependent variable.

Smaller scale uses of CARAM can reach much better precision in the case of manual classification of the CSP answers to the CAIQ questionnaire - which is time consuming but doable and even advisable for some categories of CSCs.

In order to investigate whether the classification of the nurses' answers to PUQ-2003 corresponded to the classification that was expected in terms of the categories of usefulness used in the 2002 national guideline (i.e., useful and not useful), Principal Factors Analyses (PFA) with Varimax rotation was applied to the dichotomized variables.

We discuss different levels of processing yielding bag-of-words-based and more complex representations integrating part-of-speech tags, classification of the expected answer type, semantic roles, discourse analysis, translation into a SQL-like language and logical representations.

Given the workload, we decided to automate the classification of the free text answers to CAIQ questions using the supervised machine learning algorithms (sequential minimal optimization and string vectorization) provided by the WEKA tool [26].

Note that unlike the usual multi-way classification task for capturing different classes of answers, our design of six categories specifically intends to facilitate users in ultimately making correct binary YES or NO judgments.

Specifically, our objective was to answer the question: can we exploit this knowledge to improve the molecular classification of EPCs in response to Ado treatment?

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