Rüdiger Gleim

Towards Structure-sensitive Hypertext Categorization

Hypertext categorization is the task of automatically assigning category labels to hypertext units. Comparable to text categorization it stays in the area of function learning based on the bag-of-features approach. This scenario faces the problem of a many-to-many relation between websites and their hidden logical document structure. The paper argues that this relation is a prevalent characteristic which interferes any effort of applying the classical apparatus of categorization to web genres. This is confirmed by a threefold experiment in hypertext categorization. In order to outline a solution to this problem, the paper sketches an alternative method of unsupervised learning which aims at bridging the gap between statistical and structural pattern recognition (Bunke et al. 2001) in the area of web mining.

Web corpus mining by instance of Wikipedia

In this paper we present an approach to structure learning in the area of web documents. This is done in order to approach the goal of webgenre tagging in the area of web corpus linguistics. A central outcome of the paper is that purely structure oriented approaches to web document classification provide an information gain which may be utilized in combined approaches of web content and structure analysis.

eHumanities Desktop - An Online System for Corpus Management and Analysis in Support of Computing in the Humanities

This paper introduces eHumanities Desktop- an online system for corpus management and analysis in support of Computing in the Humanities. Design issues and the overall architecture are described as well as an initial set of applications which are offered by the system.

Evolution of Romance Language in Written Communication: Network Analysis of Late Latin and Early Romance Corpora

In this paper, the authors induce linguistic networks as a prerequisite for detecting language change by means of the Patrologia Latina, a corpus of Latin texts from the 4th to the 13th century.

Towards a Network Model of the Coreness of Texts: An Experiment in Classifying Latin Texts Using the TTLab Latin Tagger

The analysis of longitudinal corpora of historical texts requires the integrated development of tools for automatically preprocessing these texts and for building representation models of their genre- and register-related dynamics. In this chapter we present such a joint endeavor that ranges from resource formation via preprocessing to network-based text representation and classification. We start with presenting the so-called TTLab Latin Tagger (TLT) that preprocesses texts of classical and medieval Latin. Its lexical resource in the form of the Frankfurt Latin Lexicon (FLL) is also briefly introduced. As a first test case for showing the expressiveness of these resources, we perform a tripartite classification task of authorship attribution, genre detection and a combination thereof. To this end, we introduce a novel text representation model that explores the core structure (the so-called coreness) of lexical network representations of texts. Our experiment shows the expressiveness of this representation format and mediately of our Latin preprocessor.

Zur Struktur und Dynamik der kollaborativen Plagiatsdokumentation am Beispiel des GuttenPlag Wikis: eine Vorstudie

Dieser Beitrag thematisiert die zeitliche Entwicklung der wikibasierten Zusammenarbeit am Beispiel des GuttenPlag Wikis. Es geht dabei um die Weiterentwicklung und Exemplifizierung netzwerkanalytischer Methoden im Bereich der Kollaborationsforschung, um die Analyse der Netzwerkstruktur von so genannten Kollaborationsnetzwerken also. Dies geschieht am Beispiel eines Wikis, das in besonderer Weise die Dynamik des World Wide Web zum Ausdruck bringt, in dem – besser als in jedem anderen der bislang bekannten Medien – das Aufkommen, die Entwicklung, die Erstarrung oder das Absterben von Instanzen neuer Dokumenttypen beobachtbar sind

Linguistic Networks – An Online Platform for Deriving Collocation Networks from Natural Language Texts

This section describes the Linguistic Networks System (LNS). Its primary goal is to allow users for exploring texts from a network-oriented perspective. One aim is to let researchers - especially from the area of historical semantics (Jussen et al. 2007) - reveal particularities of the underlying texts that are hardly accessible otherwise.

Considerations for a Linguistic Network Markup Language

As the previous chapters have shown, the possible ways of representing linguistic data as a graph are as diverse as the data itself. For the process of graph modeling, the decision as to what information will be represented as nodes and what information as relations is of great importance. In addition, what kind of added value is going to be expected by the representation of the data as a graph and what kinds of scientific questions should be answerable by the model.

Wikidition: Automatic lexiconization and linkification of text corpora

Abstract We introduce a new text technology, called Wikidition, which automatically generates large scale editions of corpora of natural language texts. Wikidition combines a wide range of text mining tools for automatically linking lexical, sentential and textual units. This includes the extraction of corpus-specific lexica down to the level of syntactic words and their grammatical categories. To this end, we introduce a novel measure of text reuse and exemplify Wikidition by means of the capitularies, that is, a corpus of Medieval Latin texts.