Assessing American presidential candidates using principles of ontological engineering, word sense disambiguation, data envelope analysis and qualitative comparative analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software
Link
https://link.springer.com/content/pdf/10.1007/s10772-023-10043-y.pdf
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2. AlMaayah, M., Sawalha, M., & Abushariah, M. A. M. (2016). Towards an automatic extraction of synonyms for Quranic Arabic WordNet. International Journal of Speech Technology, 19(2), 177–189. https://doi.org/10.1007/s10772-015-9301-9
3. Andrés González-Garay, C., & Pozo, G.-G. (2019). Assessing the performance of UK universities in the field of chemical engineering using data envelopment analysis. Education for Chemical Engineers, 29, 29–41. https://doi.org/10.1016/j.ece.2019.06.003
4. Aparicio, J., Cordero, J. M., & Ortiz, L. (2019). Measuring efficiency in education: The influence of imprecision and variability in data on DEA estimates. Socio-Economic Planning Sciences. https://doi.org/10.1016/j.seps.2019.03.004
5. Arroyo-Fernández, I., Curiel, A., & Méndez-Cruz, C.-F. (2019). Language features in extractive summarization: Humans vs machines. Knowledge-Based Systems, 180, 1–11. https://doi.org/10.1016/j.knosys.2019.05.014
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