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Weakly Labelled AudioSet Tagging With Attention Neural Networks
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LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking ...
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Novel elicitation and annotation schemes for sentential and sub-sentential alignments of bitexts
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In: Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16) ; Language Resources and Evaluation Conference (LREC'16) ; https://hal.archives-ouvertes.fr/hal-03396226 ; Language Resources and Evaluation Conference (LREC'16), ELRA, May 2016, Portoroz, Slovenia ; http://lrec2016.lrec-conf.org/en/ (2016)
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A 2D CRF Model for Sentence Alignment
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In: 9th Workshop on Building and Using Comparable Corpora ; https://hal.archives-ouvertes.fr/hal-01388656 ; 9th Workshop on Building and Using Comparable Corpora, 2016, Portorož, Slovenia ; http://lrec2016.lrec-conf.org/en/ (2016)
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Confidence Measures for Alignment and for Machine Translation ; Mesures de Confiance pour l’Alignement et pour la Traduction Automatique
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In: https://tel.archives-ouvertes.fr/tel-01399222 ; Signal and Image Processing. Université Paris Saclay (COmUE), 2016. English. ⟨NNT : 2016SACLS270⟩ (2016)
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TransRead: Designing a Bilingual Reading Experience with Machine Translation Technologies
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In: NAACL ; https://hal.inria.fr/hal-01370497 ; NAACL, North American Chapter of the Association for Computational Linguistics, Jun 2016, San Diego, United States. pp.5, ⟨10.18653/v1/N16-3006⟩ ; naacl.org/naacl-hlt-2016/ (2016)
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Deep Neural Network for Robust Speech Recognition With Auxiliary Features From Laser-Doppler Vibrometer Sensor
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Sentence Alignment for Literary Texts
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In: ISSN: 1945-3604 ; Linguistic Issues in Language Technology ; https://hal.archives-ouvertes.fr/hal-01634995 ; Linguistic Issues in Language Technology, Stanford Calif.: CSLI Publications, 2015, 12, pp.1-25 (2015)
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| 10 |
Evaluation of a new automated spotter style exam for assessment of anatomical knowledge
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Abstract:
The use of traditional specimen-based anatomy spotters as a means of assessment has declined in recent years. This is partly due to increasing student numbers and thus time required for conducting such exams; marker variability and impartiality are also issues. In an attempt to address these problems, we introduced a robust and modified MCQ-style spotter exam for dental students. Predominantly image based, the examination requires students to choose from multiple answer options. Either a positive whole mark per question is awarded or fraction thereof according to the following algorithm: x = a/max(b,c), where x = score per question, a = number of matched correct answers, b = actual number of correct answers, and c = total number of answers selected by candidate. Performance in conventional specimen-based spotter assessments was compared with that of the MCQ-style format, and minimal differences between average marks were noted. Advantages of the MCQ format include automated marking and thus consistent accurate scores, reduced marking time, and consistency between different administrators. Disadvantages include initial time for preparation and checking of master answer sheet, clear instructions for students who require a formative assessment. In conclusion, this MCQ-style examination may provide significant advantages for institutions unable to conduct traditional spotter exams.
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URL: https://eprints.soton.ac.uk/382374/
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