Papers by Pengxuan Xu

1 papers
Diversifying Neural Text Generation with Part-of-Speech Guided Softmax and Sampling (2022.coling-1)

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Challenge: Existing methods to generate text using contextual features do not consider syntactic structure clues.
Approach: They propose using linguistic annotation, i.e., part-of-speech (POS), to guide the text generation.
Outcome: The proposed method can generate more diverse text while maintaining comparable quality.

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