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Kultur ist nicht nur zu einem Schlüsselbegriff der Geisteswissenschaften geworden, sondern wird auch entterminologisiert als Alltagsbegriff benutzt. In diesem Beitrag wird untersucht, wie der Ausdruck Kultur (einschließlich Derivationen und Komposita) in der mündlichen Interaktion verwendet wird. Auf Basis von 82 Instanzen im Korpus FOLK des IDS Mannheim wurde festgestellt, dass der Ausdruck von SprecherInnen in zumeist semiformellen bis formellen Interaktionstypen benutzt wird. Es findet sich ein breites Spektrum unterschiedlicher, teils ineinander übergehender Bedeutungen, welches dem der wissenschaftlichen Literatur der Kulturtheorie ähnlich ist. Dabei lassen sich jeweils relevante Kernbedeutungen identifizieren, mit denen mehr oder weniger vage assoziierte Bedeutungen verbunden sind. Kultur zeigt sich als kontroverser Begriff: Die Referenz von Kultur, die Wertung und seine Relevanz als Erklärungsressource sind häufig umstritten.
"Wie Schule Sprache macht"
(2019)
This paper presents the prototype of a lexicographic resource for spoken German in interaction, which was conceived within the framework of the LeGeDe-project (LeGeDe=Lexik des gesprochenen Deutsch). First of all, it summarizes the theoretical and methodological approaches that were used for the initial planning of the resource. The headword candidates were selected by analyzing corpus-based data. Therefore, the data of two corpora (written and spoken German) were compared with quantitative methods. The information that was gathered on the selected headword candidates can be assigned to two different sections: meanings and functions in interaction.
Additionally, two studies on the expectations of future users towards the resource were carried out. The results of these two studies were also taken into account in the development of the prototype. Focusing on the presentation of the resource’s content, the paper shows both the different lexicographical information in selected dictionary entries, and the information offered by the provided hyperlinks and external texts. As a conclusion, it summarizes the most important innovative aspects that were specifically developed for the implementation of such a resource.
We present a descriptive analysis on the two datasets from the shared task on Source, Subjective Expression and Target Extraction from Political Speeches (STEPS), the only existing German dataset for opinion role extraction of its size. Our analysis discusses the individual properties of the three components, subjective expressions, sources and targets and their relations towards each other. Our observations should help practitioners and researchers when building a system to extract opinion roles from German data.
A Supervised learning approach for the extraction of opinion sources and targets from German text
(2019)
We present the first systematic supervised learning approach for the extraction of opinion sources and targets on German language data. A wide choice of different features is presented, particularly syntactic features and generalization features. We point out specific differences between opinion sources and targets. Moreover, we explain why implicit sources can be extracted even with fairly generic features. In order to ensure comparability our classifier is trained and tested on the dataset of the STEPS shared task.
Distributional models of word use constitute an indispensable tool in corpus based lexicological research for discovering paradigmatic relations and syntagmatic patterns (Belica et al. 2010). Recently, word embeddings (Mikolov et al. 2013) have revived the field by allowing to construct and analyze distributional models on very large corpora. This is accomplished by reducing the very high dimensionality of word cooccurrence contexts, the size of the vocabulary, to few dimensions, such as 100-200. However, word use and meaning can vary widely along dimensions such as domain, register, and time, and word embeddings tend to represent only the most prevalent meaning. In this paper we thus construct domain specific word embeddings to allow for systematically analyzing variations in word use. Moreover, we also demonstrate how to reconstruct domain specific co-occurrence contexts from the dense word embeddings.
This article shows what may be gained by a pattern-based analysis and lexicographic representation of argument structure patterns as compared to one based solely on the valency properties of verbs. The pattern analysed expresses a state whereby two or more entities are positioned on a scale of distinct values. Formally it minimally comprises a verb expressing a state or event and two NPs expressing the entities ranked. The NP referring to the entity occupying the lower position on the scale is embedded in a PP headed by vor. Allowing the identification of instances comprising verbs whose meaning is not straightforwardly related to that of the pattern, the pattern-based analysis employed raises the question of how the metaphorical state meaning of the pattern comes about. Since the verb does not express a ranking and / or a state in a large number of instances, the metaphorical state meaning of the pattern is argued to originate in these cases within the scalar meaning of the preposition and / or to be associated with the pattern itself.
Argumentstrukturmuster. Ein elektronisches Handbuch zu verbalen Argumentstrukturen im Deutschen
(2019)
Valency-based and construction-based approaches to argument structure have been competing for quite a while. However, while valency-based approaches are backed up by numerous valency dictionaries as comprehensive descriptive resources, nothing comparable exists for construction-based approaches. The paper at hand describes the foundations of an ongoing project at the Institut für Deutsche Sprache in Mannheim. Aim of the project is the compilation of an online available description of a net of German argument structure patterns. The main purpose of this resource is to provide an empirical basis for an evaluation of the adequacy of valency- versus construction-based theories of argument structure. The paper at hand addresses the theoretical background, in particular the concepts of pattern and argument structure, and the corpus-based method of the project. Furthermore, it describes the coverage of the resource, the microstructure of the articles, and the macrostructure which is conceived of as a net of argument structure patterns based on family resemblance.