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With the advent of mobile devices, mediatized political discourse became more dynamic. I assume that the microblog Twitter can be considered as a medium for spatial coordination during protests. Therefore, the case of neo-Nazi demonstrations and counter-protests in the city of Dresden that occurred in February 2012 is analysed. Data consists of microposts that occurred during the event. Quantitative analysis of hashtag and retweet frequencies was performed as well as qualitative speech act pattern analysis and a tempo-spatial discourse analysis on selected subsets of microposts. Results show that a common linguistic practice is verbal georeferencing and by that constructing space. Empirical analysis indicates a strong relation between communicational online space and physical offline place: Protest participants permanently reconfigure spatial context discursively and thus the contested protest area becomes a temporarily meaningful place.
The understanding of story variation, whether motivated by cultural currents or other factors, is important for applications of formal models of narrative such as story generation or story retrieval. We present the first stage of an experiment to elicit natural narrative variation data suitable for evaluation with respect to story similarity, to qualitative and quantitative analysis of story variation, and also for data processing. We also present few preliminary results from the first stage of the experiment, using Red Riding Hood and Romeo and Juliet as base texts.
In this article, we examine the effectiveness of bootstrapping supervised machine-learning polarity classifiers with the help of a domain-independent rule-based classifier that relies on a lexical resource, i.e., a polarity lexicon and a set of linguistic rules. The benefit of this method is that though no labeled training data are required, it allows a classifier to capture in-domain knowledge by training a supervised classifier with in-domain features, such as bag of words, on instances labeled by a rule-based classifier. Thus, this approach can be considered as a simple and effective method for domain adaptation. Among the list of components of this approach, we investigate how important the quality of the rule-based classifier is and what features are useful for the supervised classifier. In particular, the former addresses the issue in how far linguistic modeling is relevant for this task. We not only examine how this method performs under more difficult settings in which classes are not balanced and mixed reviews are included in the data set but also compare how this linguistically-driven method relates to state-of-the-art statistical domain adaptation.
Dropping out of overlap is a frequent practice for overlap resolution (Schegloff, 2000, Jefferson, 2004) in interaction, as it re-establishes the “one-at-a-time” principle of the turn-taking system (Sacks et al., 1974). While it is appropriate to analyze the practice of dropping out of overlap as a verbal and thus audible phenomenon, a close look at video data reveals that withdrawing from an action trajectory is also an embodied practice. Based on a fine-grained multimodal analysis (C. Goodwin, 1981, Mondada, 2007a, Mondada, 2007b) of videotaped interactions in French, this paper illustrates how overlapped speakers organize the momentary suspension of their action trajectory in visible ways. Indeed, participants do not instantly withdraw from their action trajectory when they stop talking. By using bodily resources, they are able to display continuous monitoring of the availability of their co-participants and of the next possible slot for resuming their suspended action. I therefore suggest analyzing the drop out of overlap as the first step of withdrawal, as definitive, embodied withdrawal can occur later, or, in case of resumption, not at all. Consequently, my paper analyzes withdrawal as a good example of strengthening the analytic concept of embodiment with regard to turn-taking practices in interaction.
Sexual harassment severely impacts the educational system in the West African country Benin and the progress of women in this society that is characterized by great gender inequality. Knowledge of the belief systems rooting in the sociocultural context is crucial to the understanding of sexual harassment. However, no study has yet investigated how sexual harassment is related to fundamental beliefs in Benin or West African countries. We conducted a field study on 265 female and male students from several high schools in Benin to investigate the link between sexual harassment and measures of ambivalent sexism, gender identity, and rape myth acceptance. Almost half of the sample reported having experienced sexual harassment personally or among peers. Levels of sexism and rape myth acceptance were very high compared to other studies. These attitudes appeared to converge in a sexist belief system that was linked to personal experiences, the perceived probability of experiencing and fear of sexual harassment. Results suggest that sexual harassment is a societal problem and that interventions need to address fundamental attitudes held in societies low in gender equality.
This article advocates an understanding of ‘positioning’ as a key to the analysis of identities in interaction within the methodological framework of conversation analysis. Building on research by Bamberg, Georgakopoulou and others, a performative, interaction-based approach to positioning is outlined and compared to membership categorization analysis. An interactional episode involving mock stories to reveal and reproach an inadequate identity-claim of a co-participant is analysed both in terms of practices of membership categorization and positioning. It is concluded that membership categorization is a core element of positioning. Still, positioning goes beyond membership categorization in a) revealing biographical dimensions accomplished by narration and b) by uncovering implicit performative claims of identity, which are not established by categorization or description.
Drawing on naturalistic video and audio recordings of international meetings, and within the framework of conversation analysis, ethnomethodology and interactional linguistics, this chapter studies how multilingual resources are mobilized in social interactions among professionals, how available linguistic and embodied resources are identified and used by the participants, which solutions are locally elaborated by them when they are confronted with various languages spoken but not shared among them, and which definition of multilingualism they adopt for all practical purposes. Focusing on the multilingual solutions emically elaborated in international professional meetings, we show that the participants orient to a double principle: on the one hand, they orient to the progressivity of the interaction, adopting all the possible resources that enable them to go on within the current activity; on the other hand, they orient to the intersubjectivity of the interaction, treating, preventing and repairing possible troubles and problems of understanding. Specific multilingual solutions can be adopted to keep this difficult balance between progressivity and intersubjectivity; they vary according to the settings, the competences at hand, the linguistic and embodied resources locally defined by the participants as publicly available, the multilingual resources treated as totally or partially shared, as transparent or opaque, and as needing repair or not. The paper begins by sketching the analytical framework, including the methodology and the data collected; it then presents some general findings, before offering an analysis of various ways in which participants keep the balance between progressivity and intersubjectivity in different multilingual interactional contexts.
Opinion holder extraction is one of the most important tasks in sentiment analysis. We will briefly outline the importance of predicates for this task and categorize them according to part of speech and according to which semantic role they select for the opinion holder. For many languages there do not exist semantic resources from which such predicates can be easily extracted. Therefore, we present alternative corpus-based methods to gain such predicates automatically, including the usage of prototypical opinion holders, i.e. common nouns, denoting for example experts or analysts, which describe particular groups of people whose profession or occupation is to form and express opinions towards specific items.