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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.
Accentuation, Uncertainty and Exhaustivity - Towards a Model of Pragmatic Focus Interpretation
(2010)
This paper presents a model of pragmatic focus interpretation that is assumed to be part of a complete language comprehension model and that is inspired by Levelt's language processing model. The model is derived from our empirical data on the role of accentuation, prosodic indicators of uncertainty and context for pragmatic focus interpretation. In its present state, the model is restricted to these data, but nevertheless generates predictions.
This paper addresses long-term archival for large corpora. Three aspects specific to language resources are focused, namely (1) the removal of resources for legal reasons, (2) versioning of (unchanged) objects in constantly growing resources, especially where objects can be part of multiple releases but also part of different collections, and (3) the conversion of data to new formats for digital preservation. It is motivated why language resources may have to be changed, and why formats may need to be converted. As a solution, the use of an intermediate proxy object called a signpost is suggested. The approach will be exemplified with respect to the corpora of the Leibniz Institute for the German Language in Mannheim, namely the German Reference Corpus (DeReKo) and the Archive for Spoken German (AGD).
We present web services implementing a workflow for transcripts of spoken language following TEI guidelines, in particular ISO 24624:2016 "Language resource management - Transcription of spoken language". The web services are available at our website and will be available via the CLARIN infrastructure, including the Virtual Language Observatory and WebLicht.
CMDI Explorer
(2021)
We present CMDI Explorer, a tool that empowers users to easily explore the contents of complex CMDI records and to process selected parts of them with little effort. The tool allows users, for instance, to analyse virtual collections represented by CMDI records, and to send collection items to other CLARIN services such as the Switchboard for subsequent processing. CMDI Explorer hence adds functionality that many users felt was lacking from the CLARIN tool space.
In unserem Beitrag diskutieren wir Aspekte einer Forschungsdateninfrastruktur für den wissenschaftlichen Alltag auf Projektebene und argumentieren für eine Unterstützung von Projekten während der Erfassung und Bearbeitung von Daten, d. h. vor deren endgültiger Veröffentlichung. Dabei differenzieren wir zwischen Projekten, deren primäres Ziel es ist, eine Ressource aufzubauen (ressourcenschaffende Projekte, kurz RP) und solchen, die zur Beantwortung einer konkreten Forschungsfrage Daten sammeln und auswerten (Forschungsprojekte, kurz FP). Wir argumentieren dafür, dass bei den offenkundigen Unterschieden zwischen beiden Projektarten die grundsätzlichen Ansprüche an das alltägliche Forschungsdatenmanagement im Kern sehr ähnlich (wenn auch unterschiedlich akzentuiert und skaliert) sind. Diese Ähnlichkeit rührt nicht zuletzt daher, dass im Rahmen von FP gesammelte Daten in Bezug auf das Projektziel primär Mittel zum Zweck sein mögen, sie jedoch bereits im Arbeitsprozess in unterschiedlichem Maß von unterschiedlichen Beteiligten genutzt werden. Wir gehen konkret auf die Aspekte Datenorganisation und -verwaltung, Metadaten, Dokumentation und Dateiformate und deren Anforderungen in den verschiedenen Projekttypen ein. Schließlich diskutieren wir Lösungsansätze dafür, Aspekte des Forschungsdatenmanagements auch in (kleineren) Forschungsprojekten nicht post-hoc, sondern bereits in der Projektplanung als Teil der alltäglichen Arbeit zu berücksichtigen und entsprechende Unterstützung in der Forschungsinfrastruktur vorzusehen.
From Proof Texts to Logic. Discourse Representation Structures for Proof Texts in Mathematics
(2009)
We present an extension to Discourse Representation Theory that can be used to analyze mathematical texts written in the commonly used semi-formal language of mathematics (or at least a subset of it). Moreover, we describe an algorithm that can be used to check the resulting Proof Representation Structures for their logical validity and adequacy as a proof.
A formal narrative representation is a procedure assigning a formal description to a natural language narrative. One of the goals of the computational models of narrative community is to understand this procedure better in order to automatize it. A formal framework fit for automatization should allow for objective and reproducible representations. In this paper, we present empirical work focussing on objectivity and reproducibility of the formal framework by Vladimir Propp (1928). The experiments consider Propp’s formalization of Russian fairy tales and formalizations done by test subjects in the same formal framework; the data show that some features of Propp’s system such as the assignment of the characters to the dramatis personae and some of the functions are not easy to reproduce.
Signposts for CLARIN
(2020)
An implementation of CMDI-based signposts and its use is presented in this paper. Arnold et al. 2020 present Signposts as a solution to challenges in long-term preservation of corpora, especially corpora that are continuously extended and subject to modification, e.g., due to legal injunctions, but also may overlap with respect to constituents, and may be subject to migrations to new data formats. We describe the contribution Signposts can make to the CLARIN infrastructure and document the design for the CMDI profile.