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Jonas Kuhn

Biographic Data

ID6462523
NAMEJonas Kuhn
GIVEN NAMESJonas
FAMILY NAMEKuhn
SIGNATUREKUHN J
AFFILIATIONSUniversity of Stuttgart
ORCID0000-0003-2860-5960
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS4
WORKS AS AUTHOR5
WORKS AS EDITOR1
FIRST PUBLICATION YEAR2012
LATEST PUBLICATION YEAR2024
H-INDEX1
  • Approaching literature and culture and/as ‘intelligent systems’

    Open Access•Sibylle Baumbach, Jonas Kuhn•ARTICLE•Interdisciplinary Science Reviews•2024•References: 3

    To propose that literature and culture can be viewed as intelligent systems requires a revisiting of what we understand by ‘intelligent systems’. This commentary outlines the potential (and also the limits) of such an approach, and offers a short overview of the connections between literature, culture, and intelligent systems, which are explored in more depth in the contributions to this special issue

  • Reflektierte algorithmische Textanalyse

    Open Access•Nils Reiter, Axel Pichler et al.•EDITOR•BOOK•Reflektierte Algorithmische…•2020

    The Center for Reflected Text Analytics (CRETA) develops interdisciplinary mixed methods for text analytics in the research fields of the digital humanities. This volume is a collection of text analyses from specialty fields including literary studies, linguistics, the social sciences, and philosophy. It thus offers an overview of the methodology of the reflected algorithmic analysis of literary and non-literary texts.

  • Reflektierte Algorithmische Textanalyse

    Axel Pichler, Jonas Kuhn et al.•BOOK•Reflektierte Algorithmische…•2020

  • Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets

    Open Access•Sebastian Haun, Jonas Kuhn et al.•ARTICLE•Politics and Governance•2020•Cited by: 3•References: 10

    This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora. It introduces the MARDY annotation environment and presents results from an experiment in which the annotation quality of annotators with and without machine learning based annotation support is compared. The design and setting aim to measure and evaluate: a…

  • Analysierte Parallelkorpora für die sprachvergleichende Grammatik

    Open Access•Jonas Kuhn•CHAPTER•Deutsch im Sprachvergleich•2012

    Dieser Beitrag versucht, eine Einschtzung der Einsatzmglichkeiten fr automatische Analysemethoden aus der aktuellen computerlinguistischen Forschung fr die sprachvergleichende Grammatikforschung vorzunehmen. Zur Illustration werden die Ergebnisse einer computerlinguistischen Studie fr die vergleichende Untersuchung von Spaltsatzkonstruktionen in verschiedenen Sprachen wiedergegeben und ausfhrlich diskutiert. Der Korpuszugang erfolgt in diesem Rah…

  • Morphological and Syntactic Case in Statistical Dependency Parsing

    Open Access•Wolfgang Seeker, Jonas Kuhn•ARTICLE•Computational Linguistics•2012•Cited by: 1

    Most morphologically rich languages with free word order use case systems to mark the grammatical function of nominal elements, especially for the core argument functions of a verb. The standard pipeline approach in syntactic dependency parsing assumes a complete disambiguation of morphological (case) information prior to automatic syntactic analysis. Parsing experiments on Czech, German, and Hungarian show that this approach is susceptible to pr…

  • Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets

    Open Access•Sebastian Haun, Jonas Kuhn et al.•ARTICLE•Politics and Governance•2020•Cited by: 3•References: 10

    This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora. It introduces the MARDY annotation environment and presents results from an experiment in which the annotation quality of annotators with and without machine learning based annotation support is compared. The design and setting aim to measure and evaluate: a…

  • Morphological and Syntactic Case in Statistical Dependency Parsing

    Open Access•Wolfgang Seeker, Jonas Kuhn•ARTICLE•Computational Linguistics•2012•Cited by: 1

    Most morphologically rich languages with free word order use case systems to mark the grammatical function of nominal elements, especially for the core argument functions of a verb. The standard pipeline approach in syntactic dependency parsing assumes a complete disambiguation of morphological (case) information prior to automatic syntactic analysis. Parsing experiments on Czech, German, and Hungarian show that this approach is susceptible to pr…

  • Analysierte Parallelkorpora für die sprachvergleichende Grammatik

    Open Access•Jonas Kuhn•CHAPTER•Deutsch im Sprachvergleich•2012

    Dieser Beitrag versucht, eine Einschtzung der Einsatzmglichkeiten fr automatische Analysemethoden aus der aktuellen computerlinguistischen Forschung fr die sprachvergleichende Grammatikforschung vorzunehmen. Zur Illustration werden die Ergebnisse einer computerlinguistischen Studie fr die vergleichende Untersuchung von Spaltsatzkonstruktionen in verschiedenen Sprachen wiedergegeben und ausfhrlich diskutiert. Der Korpuszugang erfolgt in diesem Rah…

  • Morphological and Syntactic Case in Statistical Dependency Parsing

    Open Access•Wolfgang Seeker, Jonas Kuhn•ARTICLE•Computational Linguistics•2012•Cited by: 1

    Most morphologically rich languages with free word order use case systems to mark the grammatical function of nominal elements, especially for the core argument functions of a verb. The standard pipeline approach in syntactic dependency parsing assumes a complete disambiguation of morphological (case) information prior to automatic syntactic analysis. Parsing experiments on Czech, German, and Hungarian show that this approach is susceptible to pr…

  • Reflektierte algorithmische Textanalyse

    Open Access•Nils Reiter, Axel Pichler et al.•EDITOR•BOOK•Reflektierte Algorithmische…•2020

    The Center for Reflected Text Analytics (CRETA) develops interdisciplinary mixed methods for text analytics in the research fields of the digital humanities. This volume is a collection of text analyses from specialty fields including literary studies, linguistics, the social sciences, and philosophy. It thus offers an overview of the methodology of the reflected algorithmic analysis of literary and non-literary texts.

  • Reflektierte Algorithmische Textanalyse

    Axel Pichler, Jonas Kuhn et al.•BOOK•Reflektierte Algorithmische…•2020

  • Integrating Manual and Automatic Annotation for the Creation of Discourse Network Data Sets

    Open Access•Sebastian Haun, Jonas Kuhn et al.•ARTICLE•Politics and Governance•2020•Cited by: 3•References: 10

    This article investigates the integration of machine learning in the political claim annotation workflow with the goal to partially automate the annotation and analysis of large text corpora. It introduces the MARDY annotation environment and presents results from an experiment in which the annotation quality of annotators with and without machine learning based annotation support is compared. The design and setting aim to measure and evaluate: a…

  • Approaching literature and culture and/as ‘intelligent systems’

    Open Access•Sibylle Baumbach, Jonas Kuhn•ARTICLE•Interdisciplinary Science Reviews•2024•References: 3

    To propose that literature and culture can be viewed as intelligent systems requires a revisiting of what we understand by ‘intelligent systems’. This commentary outlines the potential (and also the limits) of such an approach, and offers a short overview of the connections between literature, culture, and intelligent systems, which are explored in more depth in the contributions to this special issue

Computer Science (4 works) · Artificial Intelligence (2 works) · Digital Humanities and Scholarship (2 works) · Natural language processing (2 works) · Natural Language Processing Techniques (2 works) · Philosophy (2 works) · Psychology (2 works) · Topic Modeling (2 works) · Annotation (1 work) · Artificial Intelligence in Games (1 work)

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