Discourse Processing here is framed as marking up a text with structural descriptions on
several levels, which can serve to support many language-processing or text-mining tasks …

The main contributions of this thesis are as follows: 1. We introduce a general model for
coreference and explore its application to German.• The model features an incremental …

We apply neural coreference resolution to German, surpassing the previous state-of-theart
performance by a wide margin of 10–30 points F1 across three established datasets for …

Coreference resolution (CR) is a key task in the automated analysis of characters in stories.
Standard CR systems usually trained on newspaper texts have difficulties with literary texts …

We propose a sentence-incremental neural coreference resolution system which
incrementally builds clusters after marking mention boundaries in a shift-reduce method …

We propose an algorithm for coreference resolution based on analogy with shift-reduce
parsing. By reconceptualising the task in this way, we unite ranking-and cluster-based …

This paper presents a data-driven co-reference resolution system for German that has been
adapted from IMS HotCoref, a co-reference resolver for English. It describes the difficulties …

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 …

We implement a fully probabilistic model to combine the hypotheses of a Spanish anaphora
resolution system with those of a Spanish-English machine translation system. The …

Computational modelling of coreference and bridging resolution Page 1 Computational
modelling of coreference and bridging resolution Von der Fakultät Informatik, Elektrotechnik und …