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Oct, 2019
捷克语的神经生成:数据和基线
Neural Generation for Czech: Data and Baselines
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Ondřej Dušek, Filip Jurčíček
TL;DR
该研究提供了一份重点研究餐厅场景下,针对捷克语言的 NLG 数据集,并介绍了针对此语言难点的两种模型,分别为使用神经语言模型在词汇化时选择正确的变形形式以及使用序列到序列模型生成词元和形态标记的交替序列,再由形态生成器进行变形。
Abstract
We present the first dataset targeted at end-to-end
nlg
in Czech in the
restaurant domain
, along with several strong baseline models using the sequence-to-sequence approach. While non-English
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