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pro vyhledávání: '"Rakesh Patra"'
Autor:
Rakesh Patra, Sujan Kumar Saha
Publikováno v:
The Scientific World Journal, Vol 2013 (2013)
Support vector machine (SVM) is one of the popular machine learning techniques used in various text processing tasks including named entity recognition (NER). The performance of the SVM classifier largely depends on the appropriateness of the kernel
Externí odkaz:
https://doaj.org/article/dbec83ae19184d499b055f72d0cfd7eb
Autor:
Rakesh Patra, P. Ravi Teja
Publikováno v:
International Journal For Multidisciplinary Research. 5
This study has a fresh look on the social development disparity in Uttarakhand during post reform period (1991-2011). Uttarakhand recorded always higher female literacy than India during 1991-2011. It was found that Uttarakhand recorded always higher
Autor:
Rakesh Patra
Publikováno v:
Mathematical Statistician and Engineering Applications. 70:173-181
Data mining is the process of extracting new, possibly useful information from vast data bases that is not straightforward. Market basket analysis, a kind of data mining used in retail research, is used to analyse client transactions. The association
Autor:
Rakesh Patra, Sujan Kumar Saha
Publikováno v:
Progress in Artificial Intelligence. 9:209-219
Performance of word sequential labelling tasks like named entity recognition and parts-of-speech tagging largely depends on the features chosen in the task. But, in general representing a word as well as capturing its characteristics properly through
Autor:
Rakesh Patra, Sujan Kumar Saha
Publikováno v:
Journal of Intelligent Systems, Vol 28, Iss 1, Pp 15-30 (2019)
In this paper, we present a novel word clustering technique to capture contextual similarity among the words. Related word clustering techniques in the literature rely on the statistics of the words collected from a fixed and small word window. For e
A hybrid approach for automatic generation of named entity distractors for multiple choice questions
Autor:
Rakesh Patra, Sujan Kumar Saha
Publikováno v:
Education and Information Technologies. 24:973-993
Assessment plays an important role in learning and Multiple Choice Questions (MCQs) are quite popular in large-scale evaluations. Technology-enabled learning necessitates a smart assessment. Therefore, automatic MCQ generation became increasingly pop
Autor:
Sujan Kumar Saha, Rakesh Patra
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811078705
This paper presents a novel technique for automatic generation of distractors for multiple choice questions. Distractors are the wrong choices given along with the correct answer (key) to befuddle the examinee. Various techniques have been proposed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d39dd58f49f05f5ec98f950eab1d255
https://doi.org/10.1007/978-981-10-7871-2_49
https://doi.org/10.1007/978-981-10-7871-2_49
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9789811078705
Fill-in-the-blank questions (FIBs) play an important role in educational assessment. FIBs are effective to assess the understanding of well-defined concepts, and these are often used in school level. But manual preparation of FIBs is time-consuming a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a821cfb817d477847440b16ad49a38a
https://doi.org/10.1007/978-981-10-7871-2_44
https://doi.org/10.1007/978-981-10-7871-2_44