The Upper Guinea Coast in Global Perspective

For centuries, Africa’s Upper Guinea Coast region has been the site of regional and global interactions, with societies from different parts of the African continent and beyond engaging in economic trade, cultural exchange, and various forms of conflict. This book provides a wide-ranging look at how such encounters have continued into the present day, identifying the disruptions and continuities in religion, language, economics, and various other social phenomena that have resulted. These accounts show a region that, while still grappling with the legacies of colonialism and the slave trade, is both shaped by and an important actor within ever-denser global networks, exhibiting consistent transformation and creative adaptation

Argumentative Writing Support by means of Natural Language Processing

Persuasive essay writing is a powerful pedagogical tool for teaching argumentation skills. So far, the provision of feedback about argumentation has been considered a manual task since automated writing evaluation systems are not yet capable of analyzing written arguments. Computational argumentation, a recent research field in natural language processing, has the potential to bridge this gap and to enable novel argumentative writing support systems that automatically provide feedback about the merits and defects of written arguments. The automatic analysis of natural language arguments is, however, subject to several challenges. First of all, creating annotated corpora is a major impediment for novel tasks in natural language processing. At the beginning of this research, it has been mostly unknown whether humans agree on the identification of argumentation structures and the assessment of arguments in persuasive essays. Second, the automatic identification of argumentation structures involves several interdependent and challenging subtasks. Therefore, considering each task independently is not sufficient for identifying consistent argumentation structures. Third, ordinary arguments are rarely based on logical inference rules and are hardly ever in a standardized form which poses additional challenges to human annotators and computational methods. To approach these challenges, we start by investigating existing argumentation theories and compare their suitability for argumentative writing support. We derive an annotation scheme that models arguments as tree structures. For the first time, we investigate whether human annotators agree on the identification of argumentation structures in persuasive essays. We show that human annotators can reliably apply our annotation scheme to persuasive essays with substantial agreement. As a result of this annotation study, we introduce a unique corpus annotated with fine-grained argumentation structures at the discourse-level. Moreover, we pre- sent a novel end-to-end approach for parsing argumentation structures. We identify the boundaries of argument components using sequence labeling at the token level and propose a novel joint model that globally optimizes argument component types and argumentative relations for identifying consistent argumentation structures. We show that our model considerably improves the performance of local base classifiers and significantly outperforms challenging heuristic baselines. In addition, we introduce two approaches for assessing the quality of natural language arguments. First, we introduce an approach for identifying myside biases which is a well-known tendency to ignore opposing arguments when formulating arguments. Our experimental results show that myside biases can be recognized with promising accuracy using a combination of lexical features, syntactic features and features based on adversative transitional phrases. Second, we investigate for the first time the characteristics of insufficiently supported arguments. We show that insufficiently supported arguments frequently exhibit specific lexical indicators. Moreover, our experimental results indicate that convolutional neural networks significantly outperform several challenging baselines

Dwelling in Political Landscapes

People all over the globe are experiencing unprecedented and often hazardous situations as environments change at speeds never before experienced. This edited collection proposes that anthropological perspectives on landscape have great potential to address the resulting conundrums. The contributions build particularly on phenomenological, structuralist and multi-species approaches to environmental perception and experience, but they also argue for incorporating political power into analysis alongside dwelling, cosmology and everyday practice. The book’s 13 ethnographically rich chapters explore how the material and the conceptual are entangled in and as landscapes, but it also looks at how these processes unfold at many scales in time and space, involving different actors with different powers. Thus it reaches towards new methodologies and new ways of using anthropology to engage with the sense of crisis concerning environment, movements of people, climate change and other planetary transformations. Dwelling in political landscapes: contemporary anthropological perspectives builds substantially upon anthropological work by Tim Ingold and others, which emphasises the ongoing and open-ended, yet historically conditioned ways in which humans and nonhumans produce the environments they inhabit. In such work, landscapes are understood as the medium and outcome of meaningful life activities, where humans, like other animals, dwell. This means that landscapes are neither social/cultural nor natural, but socio-natural. Protesting against and moving on from the proverbial dualisms of modern, Western and maybe capitalist thought, is only the first step in renewing anthropology’s methodology for the current epoch, however. The contributions ask how seemingly disconnected temporal, representational, economic and other systemic dynamics fold back on lived experience that are materialised in landscapes