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Automated Summary Scoring with ReaderBench
2021Text summarization is an effective reading comprehension strategy. However, summary evaluation is complex and must account for various factors including the summary and the reference text. This study examines a corpus of approximately 3,000 summaries based on 87 reference texts, with each summary being manually scored on a 4-point Likert scale. Machine
Mihai Dascalu +4 more
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Automated Scoring in Medical Licensing
2020For nearly two decades the United States Medical Licensing Examination has included computer-based case simulations that require examinees to provide care for simulated patients. This format presents a dynamic simulation of the patient-care environment in which the patient’s condition changes based on both the underlying problem and the actions taken ...
Melissa J. Margolis, Brian E. Clauser
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Cognitive Foundations of Automated Scoring
2020In this chapter we characterize human rater scoring as an instance of human categorization processes related to category learning. We review key aspects of human categorization, including features of human natural categories and the cognitive and neurological systems that create them, and summarize this work via four core principles.
Diego Zapata-Rivera, Malcolm Bauer
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Automated Scoring of Sleep and Associated Events
2022Conventionally, sleep and associated events are scored visually by trained technologists according to the rules summarized in the American Academy of Sleep Medicine Manual. Since its first publication in 2007, the manual was continuously updated; the most recent version as of this writing was published in 2020.
Peter, Anderer +3 more
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Overview of Automated Speech Scoring
2019The global demand for English proficiency in the workforce and academia has grown steadily and estimates suggest that in 2020 over two billion people will be using English on a regular basis at some level of proficiency. Human rating, which has traditionally been the only means to evaluate such constructed spoken responses, can be costly, time ...
Keelan Evanini, Klaus Zechner
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Language-universal speech audiometry with automated scoring
Interspeech 2013, 201314th Annual Conference of the International Speech Communication Association, 25 augustus ...
Vaerenberg, Bart +5 more
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Journal of Educational Measurement, 2000
When performance assessments are delivered and scored by computer, the costs of scoring may be substantially lower than those of scoring the same assessment based on expert review of the individual performances. Computerized scoring algorithms also ensure that the scoring rules are implemented precisely and uniformly.
Stephen G. Clyman +2 more
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When performance assessments are delivered and scored by computer, the costs of scoring may be substantially lower than those of scoring the same assessment based on expert review of the individual performances. Computerized scoring algorithms also ensure that the scoring rules are implemented precisely and uniformly.
Stephen G. Clyman +2 more
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Automated sleep scoring: A review of the latest approaches
Sleep Medicine Reviews, 2019Clinical sleep scoring involves a tedious visual review of overnight polysomnograms by a human expert, according to official standards. It could appear then a suitable task for modern artificial intelligence algorithms. Indeed, machine learning algorithms have been applied to sleep scoring for many years.
Corinne Roth +8 more
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Automated scoring of novel object recognition in rats
Journal of Neuroscience Methods, 2008The object recognition task (ORT) has become increasingly popular as a memory test in neuroscience research. Scoring of ORT performance is still mostly done by hand, which can be liable to subjective scoring. To our knowledge, no suited software is available yet since the direction of the nose of the animal cannot be tracked reliably. We have developed
Ayhan Şık +6 more
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Automated Identification and Scoring of Micronuclei
2019Micronucleus (MN) assays are used as a measure of cellular damage, and are often preferred over other chromosomal aberration assays since they possess similar statistical robustness for detection of genotoxins and require less technical expertise, making them easier to perform.
Lindsay A. Beaton-Green +2 more
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