Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/454853
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | ||
dc.date.accessioned | 2023-01-30T10:27:25Z | - |
dc.date.available | 2023-01-30T10:27:25Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/454853 | - |
dc.description.abstract | newline quotQuestion Answering System (QAS) is an emerging information retrieval process, newlinewhich automatically provides short and accurate answers to natural language questions newlineposed by the humans. newline | |
dc.format.extent | 157pg | |
dc.language | English | |
dc.relation | ||
dc.rights | university | |
dc.title | Transfer Learning and Improved Deep Learning Techniques for Efficient Extraction of Answers in Question Answering Systems | |
dc.title.alternative | ||
dc.creator.researcher | Godavarthi Deepthi | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Software Engineering | |
dc.subject.keyword | Engineering and Technology | |
dc.description.note | ||
dc.contributor.guide | A. Mary Sowjanya | |
dc.publisher.place | Vishakhapatnam | |
dc.publisher.university | Andhra University | |
dc.publisher.institution | Department of Computer Science and Systems Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2022 | |
dc.format.dimensions | ||
dc.format.accompanyingmaterial | DVD | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Computer Science & Systems Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 139.5 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 343.02 kB | Adobe PDF | View/Open | |
03_content.pdf | 109.04 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 48.47 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 224.13 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 233.09 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.33 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.69 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 490.59 kB | Adobe PDF | View/Open | |
10_annexures.pdf | 204.74 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 600.06 kB | Adobe PDF | View/Open |
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