Annotation guidelines for Questions under Discussion and information structure

Abstract

Abstract We present a detailed manual for a pragmatic, i.e. meaning-based, method for the information-structural analysis of naturally attested data, which is built on the idea that for any assertion contained in a text (or transcript of spoken discourse) there is an implicit Question under Discussion (QUD) that determines which parts of the assertion are focused or backgrounded (and which ones are not at issue, i.e. not part of the assertion at all). We formulate a number of constraints, which allow the analyst/annotator to derive QUDs from the previous or upcoming discourse context, and demonstrate the method using corpus examples (of French, German, and English). Since we avoid making reference to language-specific morphosyntactic or prosodic properties, we claim that our method is also cross-linguistically applicable beyond our example languages.

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