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Blogg Dir deinen Urlaub nach Tunesien! Zur Erläuterung des Musters [VImp PROPReflexivDat NPAkk]
(2020)
In diesem Beitrag soll das Muster [VImp PROPReflexivDat NPAkk] semantisch und syntaktisch erläutert werden. Dieses Muster, das semantisch mit Verben des Erwerbens wie anschaffen korreliert, wird auch im Zusammenhang mit Kommunikationsverben wie bloggen und facebooken sowie mit dem Kontaktverb rubbeln belegt. Mithilfe des Konzeptes der Koerzion bzw. der semantischen Anpassung soll das Kovorkommen des erwänhten Musters mit diesen Verben beschrieben und erklärt werden. Als empirische Quelle dient das Korpus für das Deutsche 2012 und 2014 aus den Corpora from the Web. Die vorliegende Untersuchung ist im Rahmen meiner Dissertationsarbeit zum Thema Argumentstruktur und Bedeutung medialer Kommunikationsverben des Deutschen und des Spanischen im Sprachvergleich durchgeführt worden.
One major issue in the accomplishment of contrasts in conversation is lexical choice of items which carry the semantic Ioad of the two states of affair which are represented as being opposed to one another. These items or expressions are co-selected to be understood as being contrastively related to each other. In this paper, it is argued that the activity of contrasting itself provides them with a specific local opposite meaning which they would not obtain in other contexts. Practices of contrastingare thus seen as an example of conversational activities which creatively and systematically affect situated meanings. Basedon data from various genres, such as meetings, mediation sessions and conversations, the paper discusses two practices of contrasting, their sequential construction and their interpretative effects. It is concluded that the interpretative effects of conversational contrasting rest on the sequential deployment oflinguistic resources and on the cognitive procedures of frame-based interpretation and constructing a maximally contrastive interpretation for the co-selected expressions.
Introduction
(2010)
The demo presents a minimalist, off-the-shelf AND tool which provides a fundamental AND operation, the comparison of two publications with ambiguous authors, as an easily accessible HTTP interface. The tool implements this operation using standard AND functionality, but puts particular emphasis on advanced methods from natural language processing (NLP) for comparing publication title semantics.
Preface
(2010)
We present a supervised machine learning AND system which tackles semantic similarity between publication titles by means of word embeddings. Word embeddings are integrated as external components, which keeps the model small and efficient, while allowing for easy extensibility and domain adaptation. Initial experiments show that word embeddings can improve the Recall and F score of the binary classification sub-task of AND. Results for the clustering sub-task are less clear, but also promising and overall show the feasibility of the approach.