natural-language-summary-generation-from-structured-data
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Question about OOV words.
Thanks for your great job, firstly. I have some questions about how the Copy Mechanism solved OOV problem. In your code, you built a content_label_vocab_dict size of 2w, and mapped the words out of the vocabulary to UNK. So, it means the OOV words are regarded as the SAME token, and can not map back to the real DIFFERENT OOV words precisely. Then how can we generate an OOV word when decoding?
Thanks again Sam