Evolutionary Generative Adversarial Networks for Sentence Generation from Keyword
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- @InProceedings{Oshikawa:2022:AIC,
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author = "Ray Oshikawa and Kotaro Pindur and Hitoshi Iba",
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booktitle = "2022 IEEE World Conference on Applied Intelligence and
Computing (AIC)",
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title = "Evolutionary Generative Adversarial Networks for
Sentence Generation from Keyword",
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year = "2022",
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pages = "201--209",
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month = jun,
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/AIC55036.2022.9848944",
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abstract = "Natural language processing has been recognised as an
important goal for computers. Especially, generating
sentence as we needed is very practical goal. However,
the current GAN implementations for sentence generation
ignore context. Generating sentences based on a simple
corpus by specifying keywords will bring us one step
closer to achieving generating along context. This
research has made the following two contributions.
First, we confirmed the effectiveness of genetic
programming in keyphrase selection, built a
non-black-box keyphrase selection model. Secondly, we
improved the evolutionary GAN and realized sentence
generation based on keywords. There is little
integration of natural language processing by
evolutionary computation methods, so this work is a
good step.",
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notes = "Also known as \cite{9848944}",
- }
Genetic Programming entries for
Ray Oshikawa
Kotaro Pindur
Hitoshi Iba
Citations