Cue word guided question generation with BERT model fine-tuned on natural question dataset
2020 master's thesis by Zijing Zhang at University of Waikato
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Cue word guided question generation with BERT model fine-tuned on natural question dataset
Summary
Cue word guided question generation with BERT model fine-tuned on natural question dataset is a master's thesis[1].
Key Facts
- Cue word guided question generation with BERT model fine-tuned on natural question dataset authored Zijing Zhang[2].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's instance of is recorded as master's thesis[3].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's publisher is recorded as Waikato Research Commons[4].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's place of publication is recorded as Hamilton[5].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's language of work or name is recorded as English[6].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's country of origin is recorded as New Zealand[7].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's publication date is recorded as +2020-00-00T00:00:00Z[8].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's main subject is recorded as deep learning[9].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's main subject is recorded as question generation[10].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's work available at URL is recorded as https://researchcommons.waikato.ac.nz/handle/10289/13965[11].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's Handle ID is recorded as 10289/13965[12].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's title is recorded as Cue word guided question generation with BERT model fine-tuned on natural question dataset[13].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's copyright holder is recorded as Zijing Zhang[14].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's thesis submitted to is recorded as University of Waikato[15].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's on focus list of Wikimedia project is recorded as NZThesisProject[16].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's copyright status is recorded as copyrighted[17].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's online access status is recorded as open access[18].
- Cue word guided question generation with BERT model fine-tuned on natural question dataset's thesis committee member is recorded as Tony C. Smith[19].
Body
Designation and Status
Cue word guided question generation with BERT model fine-tuned on natural question dataset's instance of is recorded as master's thesis[3].