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- W3027726351 abstract "Financial news text generation is aiming to aid experienced staff releasing the up-to-date financial information, according to generate snippets of news as similar as human writes by imitating human's writing style. Traditional news text generation methods mainly concentrate on building sequence models, whereas it always loses a mass of semantic and syntactic information when the word sequence is longer beyond the length threshold. This paper focuses on improving the generating similarity by introducing additional semantic features into sequence models. The experimental results show that our method outperforms the existing methods." @default.
- W3027726351 created "2020-05-29" @default.
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- W3027726351 date "2019-11-01" @default.
- W3027726351 modified "2023-09-25" @default.
- W3027726351 title "Financial News Generation Based on Artificial Intelligence Technology" @default.
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- W3027726351 doi "https://doi.org/10.1109/iicspi48186.2019.9095962" @default.
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