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Goethes Medientheorie
(2007)
Medientheoretische Zugänge zu Goethe sind bis heute eher die Ausnahme. Denn Goethe gilt uns als letzter Vertreter der sogenannten "Kunstperiode", die mit seinem Tod ihr Ende gefunden habe – so urteilten schon seine Zeitgenossen Hegel, Heine und Gervinus. Und wenn Goethe heute in ein Verhältnis zu unserer sogenannten "Mediengesellschaft" gebracht wird, so geschieht das vorwiegend in negativer Abgrenzung der Literatur gegen die audiovisuellen Medien. ...
"Alle Dinge haben ihren Nutzen und ihren Teil und ihren rechten Platz im Haushalt der Natur." Mark Twain Damit dieses so bleibt, hat das Land Baden-Württemberg Artenhilfsprogramme für solche Tier- und Pflanzenarten in Leben gerufen, der Existenz durch unterschiedliche Aktivitäten des Menschen akut bedroht ist. Künftigen Generationen ein vielfältiges Artenspektrum zu erhalten, ist eine vorrangige Aufgabe unserer Gesellschaft. Mögliche Wege aufzuzeigen und von der Notwendigkeit geeigneter Hilfsmaßnahmen zu überzeugen, ist Ziel dieses Blattes.
Ach du dicke Trespe!
(2007)
Die dicke Trespe gehört zu den bedrohten Pflanzenarten Baden-Württembergs, für die das Land in besonderer Verantwortung steht. Ziel des Faltblattes ist, Landwirte und Öffentlichkeit gleichermaßen über Gefährdungsursachen und Maßnahmen zum Schutz dieser in ganz Mitteleuropa äußerst selten gewordenen Süßgrasart zu informieren.
Intrinsic motivation, the causal mechanism for spontaneous exploration and curiosity, is a central concept in developmental psychology. It has been argued to be a crucial mechanism for open-ended cognitive development in humans, and as such has gathered a growing interest from developmental roboticists in the recent years. The goal of this paper is threefold. First, it provides a synthesis of the different approaches of intrinsic motivation in psychology. Second, by interpreting these approaches in a computational reinforcement learning framework, we argue that they are not operational and even sometimes inconsistent. Third, we set the ground for a systematic operational study of intrinsic motivation by presenting a formal typology of possible computational approaches. This typology is partly based on existing computational models, but also presents new ways of conceptualizing intrinsic motivation. We argue that this kind of computational typology might be useful for opening new avenues for research both in psychology and developmental robotics.
We adopt Markert and Nissim (2005)’s approach of using the World Wide Web to resolve cases of coreferent bridging for German and discuss the strength and weaknesses of this approach. As the general approach of using surface patterns to get information on ontological relations between lexical items has only been tried on English, it is also interesting to see whether the approach works for German as well as it does for English and what differences between these languages need to be accounted for. We also present a novel approach for combining several patterns that yields an ensemble that outperforms the best-performing single patterns in terms of both precision and recall.
We investigate methods to improve the recall in coreference resolution by also trying to resolve those definite descriptions where no earlier mention of the referent shares the same lexical head (coreferent bridging). The problem, which is notably harder than identifying coreference relations among mentions which have the same lexical head, has been tackled with several rather different approaches, and we attempt to provide a meaningful classification along with a quantitative comparison. Based on the different merits of the methods, we discuss possibilities to improve them and show how they can be effectively combined.
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. In 2007, as in 2006, the shared task has been devoted to dependency parsing, this year with both a multilingual track and a domain adaptation track. In this paper, we define the tasks of the different tracks and describe how the data sets were created from existing treebanks for ten languages. In addition, we characterize the different approaches of the participating systems, report the test results, and provide a first analysis of these results.
Recent approaches to Word Sense Disambiguation (WSD) generally fall into two classes: (1) information-intensive approaches and (2) information-poor approaches. Our hypothesis is that for memory-based learning (MBL), a reduced amount of data is more beneficial than the full range of features used in the past. Our experiments show that MBL combined with a restricted set of features and a feature selection method that minimizes the feature set leads to competitive results, outperforming all systems that participated in the SENSEVAL-3 competition on the Romanian data. Thus, with this specific method, a tightly controlled feature set improves the accuracy of the classifier, reaching 74.0% in the fine-grained and 78.7% in the coarse-grained evaluation.
Leben mit Wölfen : Leitfaden für den Umgang mit einer konfliktträchtigen Tierart in Deutschland
(2007)
Der Wolf (Canis lupus) - eine der umstrittensten Tierarten Europas. Jahrhunderte lang wurde er in Europa verfolgt, in weiten Teilen Nord- und Mitteleuropas ausgerottet. Erst in den 1960er und 1970er Jahren, als die Bestände vielerorts ihren Tiefpunkt erreicht hatten, wurden ihm in einigen europäischen Ländern Schonzeiten oder auch ganzjähriger Schutz zugestanden. Allmählich begannen sich die Populationen in Italien und Spanien, aber auch in Polen zu erholen. In den letzten 20 Jahren kehrten Wölfe sogar wieder in Gegenden zurück, in denen sie vorher ausgerottet worden waren. Norditalien, Frankreich, die Schweiz, Schweden, Norwegen, Finnland und nun auch Deutschland sind solche neuen, alten Wolfsgebiete. Häufig wurde die Rückkehr der Wölfe mit gemischten Gefühlen aufgenommen. Von den Einen als Erfolg des Artenschutzes gefeiert, sahen andere darin einen Rückfall in längst vergangene Zeiten. Das Raubtier Wolf, so glauben viele, hat in unserer heutigen Kulturlandschaft keinen Platz mehr. Selbst Befürworter seiner Rückkehr sind oft unsicher, wie man mit dem nunmehr geschützten Heimkehrer umgehen sollte. Das Comeback der Wölfe und ihre Rückkehr in die unterschiedlichsten Lebensräume verdeutlicht einmal mehr ihre Flexibilität, stellt unsere hingegen auf eine Probe. Wölfe können fast überall leben, wo sie genügend Nahrung finden und wir sie leben lassen. Der einzige einschränkende Faktor scheint der Mensch zu sein. Entsprechend sind die Herausforderungen im Wolfsschutz weniger ökologischer, sondern vor allem soziologischer Natur. Pauschallösungen für den Umgang mit dem Wolf gibt es nicht. Je nach Gegebenheiten müssen jeweils eigene, angepasste Lösungen entwickelt werden. Die Vielseitigkeit der Wölfe und die unterschiedlichen soziologischen und ökologischen Bedingungen machen den Wolfsschutz zu einer einzigartigen Herausforderung.
Prepositional phrase (PP) attachment is one of the major sources for errors in traditional statistical parsers. The reason for that lies in the type of information necessary for resolving structural ambiguities. For parsing, it is assumed that distributional information of parts-of-speech and phrases is sufficient for disambiguation. For PP attachment, in contrast, lexical information is needed. The problem of PP attachment has sparked much interest ever since Hindle and Rooth (1993) formulated the problem in a way that can be easily handled by machine learning approaches: In their approach, PP attachment is reduced to the decision between noun and verb attachment; and the relevant information is reduced to the two possible attachment sites (the noun and the verb) and the preposition of the PP. Brill and Resnik (1994) extended the feature set to the now standard 4-tupel also containing the noun inside the PP. Among many publications on the problem of PP attachment, Volk (2001; 2002) describes the only system for German. He uses a combination of supervised and unsupervised methods. The supervised method is based on the back-off model by Collins and Brooks (1995), the unsupervised part consists of heuristics such as ”If there is a support verb construction present, choose verb attachment”. Volk trains his back-off model on the Negra treebank (Skut et al., 1998) and extracts frequencies for the heuristics from the ”Computerzeitung”. The latter also serves as test data set. Consequently, it is difficult to compare Volk’s results to other results for German, including the results presented here, since not only he uses a combination of supervised and unsupervised learning, but he also performs domain adaptation. Most of the researchers working on PP attachment seem to be satisfied with a PP attachment system; we have found hardly any work on integrating the results of such approaches into actual parsers. The only exceptions are Mehl et al. (1998) and Foth and Menzel (2006), both working with German data. Mehl et al. report a slight improvement of PP attachment from 475 correct PPs out of 681 PPs for the original parser to 481 PPs. Foth and Menzel report an improvement of overall accuracy from 90.7% to 92.2%. Both integrate statistical attachment preferences into a parser. First, we will investigate whether dependency parsing, which generally uses lexical information, shows the same performance on PP attachment as an independent PP attachment classifier does. Then we will investigate an approach that allows the integration of PP attachment information into the output of a parser without having to modify the parser: The results of an independent PP attachment classifier are integrated into the parse of a dependency parser for German in a postprocessing step.