Hierarchical reinforcement learning for situated natural language generation
نویسندگان
چکیده
منابع مشابه
Hierarchical reinforcement learning for situated natural language generation
Natural Language Generation systems in interactive settings often face a multitude of choices, given that the communicative effect of each utterance they generate depends crucially on the interplay between its physical circumstances, addressee and interaction history. This is particularly true in interactive and situated settings. In this paper we present a novel approach for situated Natural L...
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ژورنال
عنوان ژورنال: Natural Language Engineering
سال: 2014
ISSN: 1351-3249,1469-8110
DOI: 10.1017/s1351324913000375