Information extraction for notes generation
Abstract & Details
Research Area
Computer engineering
Keywords
Text summarization
text segmentation
sentence scoring
parsing
ontology
Abstract
For a specific topic we find many reference books and textbooks to refer and the content is much more than one needs, therefore at the time of revision or quick study we need the summary and short version of the whole content for revision, especially at the time of examinations.
Therefore we aim to develop a semi-automated technique to generate notes from English text documents like Reference Books and Text books. The technique discussed is considered to be a pioneering attempt in the field of NLP (Natural Language Processing).This technique has a wide scope in the educational domain. The technique when implemented as an application can be used by both faculty members and students.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Ajinkya Mohite | NBN Sinhgad School of Engineering |
| 2 | Jaideep Shinde | NBN Sinhgad School of Engineering |
| 3 | Viraj Kamble | NBN Sinhgad School of Engineering |
| 4 | Shamli Mali | NBN Sinhgad School of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Mohite, Ajinkya, Shinde, Jaideep, Kamble, Viraj, & Mali, Shamli (2019). Information extraction for notes generation. International Journal of Advance Research and Innovative Ideas In Education, 5(3), 1062-1066.
MLA Style
Mohite, Ajinkya, et al. "Information extraction for notes generation." International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 3, 2019, pp. 1062-1066.
IEEE Style
Ajinkya Mohite, Jaideep Shinde, Viraj Kamble, and Shamli Mali, "Information extraction for notes generation," International Journal of Advance Research and Innovative Ideas In Education, vol. 5, no. 3, pp. 1062-1066, 2019.
Vancouver Style
Mohite Ajinkya, Shinde Jaideep, Kamble Viraj, Mali Shamli. Information extraction for notes generation. International Journal of Advance Research and Innovative Ideas In Education. 2019;5(3):1062-1066.
Harvard Style
Mohite, Ajinkya, Shinde, Jaideep, Kamble, Viraj, & Mali, Shamli (2019) 'Information extraction for notes generation', International Journal of Advance Research and Innovative Ideas In Education, 5(3), pp. 1062-1066.
Chicago Style
Mohite, Ajinkya, et al. "Information extraction for notes generation." International Journal of Advance Research and Innovative Ideas In Education 5, no. 3 (2019): 1062-1066.
Turabian Style
Mohite, Ajinkya, et al. "Information extraction for notes generation." International Journal of Advance Research and Innovative Ideas In Education 5, no. 3 (2019): 1062-1066.
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