Arndt Riester

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We provide a robust and detailed annotation scheme for information status, which is easy to use, follows a semantic rather than cognitive motivation, and achieves reasonable inter-annotator scores. Our annotation scheme is based on two main assumptions: firstly, that information status strongly depends on (in)definiteness, and secondly, that it ought to be(More)
The main objective of the paper is to show that for an adequate analysis of an item’s information status in spoken language two levels of givenness have to be investigated: a referential and a lexical level. This separation is a crucial step towards our goal to arrive at the best possible classification of nominal expressions occurring in natural discourse(More)
In this paper we present DIRNDL, an annotated corpus resource comprising syntactic annotations as well as information status labels and prosodic information. We introduce each annotation layer and then focus on the linking of the data in a standoff approach. The corpus is based on data from radio news broadcasts, i.e. two sets of primary data: spoken radio(More)
This paper is the first to examine the effect of prosodic features on coreference resolution in spoken discourse. We test features from different prosodic levels and investigate which strategies can be applied. Our results on the basis of manual prosodic labelling show that the presence of an accent is a helpful feature in a machine-learning setting.(More)