Underspecification for incremental generation
نویسندگان
چکیده
State-of-the-art NLG systems have a mostly static perspective on language generation, i.e. they have a fixed knowledge representation from which they generate language. This is fine for offline working systems, where the language is read only after it has been completely generated. However, systems set in a dynamic environment, e.g. those interacting with a human user, need a dynamic way of processing and, therefore, dynamic representations to exhibit appropriate response behaviour. For such settings we suggest to use an incremental mode of processing in conjunction with underspecified semantic representations. We especially focus on the case where the content to be verbalised changes during language generation.
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تاریخ انتشار 2002