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Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering
Shiyue Zhang
|
Mohit Bansal
|
Paper Details:
Month: November
Year: 2019
Location: Hong Kong, China
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
No Citations Yet
https://github.com/xinyadu/nqg/tree/
https://stanfordnlp.github.io/
https://github.com/google-research/
https://tinyurl.com/y2y8u5ed
Field Of Study
Task
Language Understanding
Tagging
Semantic Similarity
Question Answering
Language Generation
Summarization
Machine Translation
Paraphrasing
Approach
Generative Model
Representation Learning
Semi-supervised Learning
Language
Chinese
Dataset
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