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Strategische Kommunikation wird in verschiedenen Bereichen der menschlichen Interaktion verwendet, um eine bestimmte Zielgruppe zu beeinflussen. Sie befindet sich an der Schnittstelle mannigfaltiger Disziplinen, wie z.B. Kommunikations- und Politikwissenschaft, Psychologie, Management und Marketing. Strategische Kommunikation bezieht sich sowohl auf öffentliche und private Kommunikation, professionelle und unprofessionelle Kommunikantinnen und Kommunikanten als auch auf unterschiedliche Kommunikationskanäle.
Der Beitrag befasst sich zunächst mit der Satzklammer des Deutschen aus der Perspektive der Informationsverteilung. Nachdem gezeigt ist, dass sie als Informationsklammer fungiert, wird ihre Interaktion mit den Teilen gespaltener Nominalphrasen untersucht. Dabei zeigen sich zwei interessante Befunde:
• die Satzklammer und die NP-Teile unterstützen sich bei der Informationsklammerbildung; insbesondere können die Spalt-NP-Teile Akzent tragen;
• die Spalt-NP-Teile können alleine die Rolle einer Informationsklammer spielen, wodurch eine Topikalisierung des Partizips II möglich wird.
The Stuttgart-Tübingen Tagset (STTS) is a widely used POS annotation scheme for German which provides 54 different tags for the analysis on the part of speech level. The tagset, however, does not distinguish between adverbs and different types of particles used for expressing modality, intensity, graduation, or to mark the focus of the sentence. In the paper, we present an extension to the STTS which provides tags for a more fine-grained analysis of modification, based on a syntactic perspective on parts of speech. We argue that the new classification not only enables us to do corpus-based linguistic studies on modification, but also improves statistical parsing. We give proof of concept by training a data-driven dependency parser on data from the TiGer treebank, providing the parser a) with the original STTS tags and b) with the new tags. Results show an improved labelled accuracy for the new, syntactically motivated classification.
The present paper reports the first results of the compilation and annotation of a blog corpus for German. The main aim of the project is the representation of the blog discourse structure and relations between its elements (blog posts, comments) and participants (bloggers, commentators). The data included in the corpus were manually collected from the scientific blog portal SciLogs. The feature catalogue for the corpus annotation includes three types of information which is directly or indirectly provided in the blog or can be construed by means of statistical analysis or computational tools. At this point, only directly available information (e.g. title of the blog post, name of the blogger etc.) has been annotated. We believe, our blog corpus can be of interest for the general study of blog structure or related research questions as well as for the development of NLP methods and techniques (e.g. for authorship detection).
In this paper we present an approach to faceted search in large language resource repositories. This kind of search which enables users to browse through the repository by choosing their personal sequence of facets heavily relies on the availability of descriptive metadata for the objects in the repository. This approach therefore informs the collection of a minimal set of metatdata for language resources. The work described in this paper has been funded by the EC within the ESFRI infrastructure project CLARIN.
This paper presents an extension to the Stuttgart-Tübingen TagSet, the standard part-of-speech tag set for German, for the annotation of spoken language. The additional tags deal with hesitations, backchannel signals, interruptions, onomatopoeia and uninterpretable material. They allow one to capture phenomena specific to spoken language while, at the same time, preserving inter-operability with already existing corpora of written language.