Papers by Jian Lan

2 papers
Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation (2023.emnlp-main)

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Challenge: Existing unsupervised paraphrase generation methods require large-scale, manually annotated paraphrase datasets, which are labor-intensive to build.
Approach: They propose a self-supervised pseudo-data construction method that generates diverse pseudo-paraphrases in distinct surface structures for a given sentence.
Outcome: The proposed method generates diverse pseudo-paraphrases in distinct surface structures for a given sentence.
Exploring Better Text Image Translation with Multimodal Codebook (2023.acl-long)

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Challenge: Current studies on text image translation face bottlenecks due to lack of a publicly available dataset and poor optical character recognition.
Approach: They propose a text image translation model with a multimodal codebook and an OCR dataset for Chinese-English translation.
Outcome: The proposed model can associate the image with relevant texts, providing useful supplementary information for translation.

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