Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Archana Praveen Kumar"'
Autor:
Archana Praveen Kumar, Ashalatha Nayak, Manjula Shenoy K., Roshan Jacob Manoj, Akansha Priyadarshi
Publikováno v:
IEEE Access, Vol 10, Pp 53290-53306 (2022)
With the advent of new technologies, simplifying text automatically has been very popular and of high importance among natural language researchers during the last decade. The predominant research done in the area of Automatic Sentence Simplification
Externí odkaz:
https://doaj.org/article/c14156f4aa70447d8c01c5f18ff2eb84
Publikováno v:
International Journal of Artificial Intelligence in Education.
Multiple Choice Questions (MCQs) are a popular assessment method because they enable automated evaluation, flexible administration and use with huge groups. Despite these benefits, the manual construction of MCQs is challenging, time-consuming and er
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86ac7bbfc19712031b5a6457e7dc5da7
https://doi.org/10.1007/s40593-023-00333-6
https://doi.org/10.1007/s40593-023-00333-6
Publikováno v:
Expert Systems with Applications. 225:120022
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b28b1d214306a70c586ca9ed8c15f9be
https://doi.org/10.1016/j.eswa.2023.120022
https://doi.org/10.1016/j.eswa.2023.120022
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811633416
Advances in Intelligent Systems and Computing
Advances in Intelligent Systems and Computing
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77b54c19efe98a9baf57fa94e2e1f9db
https://doi.org/10.1007/978-981-16-3342-3_34
https://doi.org/10.1007/978-981-16-3342-3_34
Publikováno v:
AIP Conference Proceedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adcc8b3aa9040ed6370618c8c8f67cd8
https://doi.org/10.1063/5.0011064
https://doi.org/10.1063/5.0011064
Publikováno v:
2019 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER).
In the process of analyzing sentiments for a given dataset various machine learning techniques are used. The models using these learning algorithms help in determining the sentiments across the textual documents. There is a need to evaluate the effec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e499d91ae47c57c15716c528af08bbf
https://doi.org/10.1109/discover47552.2019.9008028
https://doi.org/10.1109/discover47552.2019.9008028
Publikováno v:
2015 Annual IEEE India Conference (INDICON).
Ontologies perform the cumbersome task of translating data on the web into a form suitable for manipulation by machines. The discovery of concepts and relationships from unstructured text is a crucial and challenging task in constructing ontology (s)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5482ac2de698cead12b2073be79ce8bb
https://doi.org/10.1109/indicon.2015.7443506
https://doi.org/10.1109/indicon.2015.7443506