Papers by Boya Yu
Delexicalized Paraphrase Generation (2020.coling-industry)
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| Challenge: | Using convolutional neural networks, we generate delexicalized sentences . 1.29% accuracy is achieved with the generated paraphrases . |
| Approach: | They propose a neural paraphrasing model that generates delexicalized sentences . they use convolutional neural networks to pool on slot values and use pointers to locate them . |
| Outcome: | The proposed model generates delexicalized sentences with high quality . it can be used for intent classification and named entity recognition tasks . |