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We present a new data-driven methodology for simulation-based dialogue strategy learning, which allows us to address several problems in the field of automatic optimization of dialogue strateg...
Texts and dialogues often express information indirectly. For instance, speakers’ answers to yes/no questions do not always straightforwardly convey a ‘yes’ or ‘no’ answer. The intended reply is clear...
Language acquisition in both natural and artificial language learning settings crucially depends on extracting information from ordered sequences.
While a study by Goldschneider and DeKeyser (2005) was able to explain how factors such as phonological salience, frequency, morphological regularity, semantic complexity, and syntactic complexity inf...

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