The aNALoGuE Challenge: Non Aligned Language GEneration
نویسندگان
چکیده
We propose a shared task based on recent advances in learning to generate natural language from meaning representations using semantically unaligned data. The aNALoGuE challenge aims to evaluate and compare recent corpus-based methods with respect to their scalability to data size and target complexity, as well as to assess predictive quality of automatic evaluation metrics.
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تاریخ انتشار 2016