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  1. Treebanking User-Generated Content: A Proposal for a Unified Representation in Universal Dependencies

    The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework. Given on the one... mehr

     

    The paper presents a discussion on the main linguistic phenomena of user-generated texts found in web and social media, and proposes a set of annotation guidelines for their treatment within the Universal Dependencies (UD) framework. Given on the one hand the increasing number of treebanks featuring user-generated content, and its somewhat inconsistent treatment in these resources on the other, the aim of this paper is twofold: (1) to provide a short, though comprehensive, overview of such treebanks - based on available literature - along with their main features and a comparative analysis of their annotation criteria, and (2) to propose a set of tentative UD-based annotation guidelines, to promote consistent treatment of the particular phenomena found in these types of texts. The main goal of this paper is to provide a common framework for those teams interested in developing similar resources in UD, thus enabling cross-linguistic consistency, which is a principle that has always been in the spirit of UD.

     

    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Strukturbaum; Social Media; Annotation; Natürliche Sprache; User Generated Content
    Lizenz:

    creativecommons.org/licenses/by-nc/4.0/ ; info:eu-repo/semantics/openAccess

  2. A New Resource for German Causal Language
    Erschienen: 2020
    Verlag:  Paris : European Language Resources Association

    We present a new resource for German causal language, with annotations in context for verbs, nouns and adpositions. Our dataset includes 4,390 annotated instances for more than 150 different triggers. The annotation scheme distinguishes three... mehr

     

    We present a new resource for German causal language, with annotations in context for verbs, nouns and adpositions. Our dataset includes 4,390 annotated instances for more than 150 different triggers. The annotation scheme distinguishes three different types of causal events (CONSEQUENCE, MOTIVATION, PURPOSE). We also provide annotations for semantic roles, i.e. of the cause and effect for the causal event as well as the actor and affected party, if present. In the paper, we present inter-annotator agreement scores for our dataset and discuss problems for annotating causal language. Finally, we present experiments where we frame causal annotation as a sequence labelling problem and report baseline results for the prediciton of causal arguments and for predicting different types of causation.

     

    Export in Literaturverwaltung
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Konferenzveröffentlichung
    Format: Online
    DDC Klassifikation: Sprache (400)
    Schlagworte: Kausalität; Korpus; Deutsch; Annotation; Natürliche Sprache
    Lizenz:

    creativecommons.org/licenses/by-nc/4.0/ ; info:eu-repo/semantics/openAccess

  3. Negation modeling for German polarity classification
    Erschienen: 2018
    Verlag:  Cham, Switzerland : Springer

    We present an approach for modeling German negation in open-domain fine grained sentiment analysis. Unlike most previous work in sentiment analysis, we assume that negation can be conveyed by many lexical units (and not only common negation words)... mehr

     

    We present an approach for modeling German negation in open-domain fine grained sentiment analysis. Unlike most previous work in sentiment analysis, we assume that negation can be conveyed by many lexical units (and not only common negation words) and that different negation words have different scopes. Our approach is examined on a new dataset comprising sentences with mentions of polar expressions and various negation words. We identify different types of negation words that have the same scopes. We show that already negation modeling based on these types largely outperforms traditional negation models which assume the same scope for all negation words and which employ a window-based scope detection rather than a scope detection based on syntactic information.

     

    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: BASE Fachausschnitt Germanistik
    Sprache: Englisch
    Medientyp: Aufsatz aus einem Sammelband
    Format: Online
    DDC Klassifikation: Germanische Sprachen; Deutsch (430)
    Schlagworte: Deutsch; Negation; Semantische Analyse; Automatische Sprachanalyse
    Lizenz:

    creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess

  4. Aspectual grammar and past time reference
    Erschienen: 1998
    Verlag:  Routledge, London [u.a.]

    Universitätsbibliothek J. C. Senckenberg, Zentralbibliothek (ZB)
    12.905.66
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Universitätsbibliothek J. C. Senckenberg, Bibliothekszentrum Geisteswissenschaften (BzG)
    01/HF 615 M621
    keine Fernleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Fachkatalog Germanistik
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    ISBN: 0415156785
    RVK Klassifikation: ET 660 ; HF 315 ; HF 318 ; HF 615
    Schriftenreihe: Routledge studies in Germanic linguistics ; 4
    Schlagworte: Grammatiktheorie; Tempus; Aspekt <Linguistik>; Germanische Sprachen
    Umfang: XIX, 296 S., graph. Darst.
    Bemerkung(en):

    Literaturverz. S. 281 - 287