Kurt Eberle

AMS (Germany)

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Bogdan Babych

Heidelberg University

Ulrich Heid

University of Hildesheim

Reinhard Rapp

Hochschule Magdeburg-Stendal

Patrik Lambert

Pompeu Fabra University

Rafael E. Banchs

Nanyang Technological University

Marta R. Costa‐jussà

Universitat Politècnica de Catalunya

Michael Dorna

Robert Bosch (Germany)

Kerstin Eckart

University of Stuttgart

Boris Haselbach

University of Stuttgart

Martin Emele

Etas (Germany)

Cooperative Institutions

University of Stuttgart

University of Leeds

AMS (Germany)

Institut für Informationsverarbeitung

Heidelberg University

Universitat Politècnica de Catalunya

Institut für Mikroelektronik Stuttgart

University of Hildesheim

Bielefeld University

Canadian Nautical Research Society

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Approximating Theoretical Linguistics Classification in Real Data: the Case of German ``nach'' Particle Verbs

International Conference on Computational Linguistics (2012)

Boris Haselbach Kerstin Eckart Wolfgang Seeker Kurt Eberle Ulrich Heid

Testing a theory against real world data can sometimes be helpful in figuring out the shortcomings of your current theory. In this paper, we test a theory about the syntax-semantics interface of German nach-particle verbs against data from a web corpus in order to see if we can use our automatic NLP machinery to corroborate the predictions of the theory. We use state-of-the-art parsers to automatically annotate our data with the features predicted by the theory and then apply a standard clustering approach to approximate the nach-particle verb classes of the theory. The results of our experiment not only help us highlighting the more problematic parts of the theory but also teach us about the strengths and weaknesses of our automatic analysis tools. TITLE AND ABSTRACT IN ANOTHER LANGUAGE, L2 (OPTIONAL, AND ON SAME PAGE) Corpusbasierte Uberprufung einer semantischen Klassifikation deutscher nach-Partikelverben Um Unzulanglichkeiten einer Theorie auszumachen ist es mitunter vonnoten, Hypothesen gegen echtes Textmaterial abzugleichen. In diesem Beitrag soll diskutiert werden, wie Vorhersagen einer Theorie zum syntaktischen und semantischen Verhalten deutscher nach-Partikelverben gegen Netztexte abgeglichen werden konnen und wie dabei eine automatische Textverarbeitung unterstutzend zum Tragen kommt. Es werden Parser des letzten Stands der Forschung verwendet um die Daten mit den von der Theorie vorhergesagten Merkmalen zu annotieren bevor ein standardisiertes Clustering-Verfahren angewandt wird um die theoretischen nach-Partikel-Verb-Klassen nachzubilden. Die Resultate des Experiments unterstreichen nicht nur Problemfalle der Theorie sondern zeigen auch die Starken und Schwachen der automatischen Analyse.

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Citations (3)

Eventualities in a natural language understanding system

Lecture notes in computer science (1990)

Kurt Eberle

Plural

Structuring

10.1007/3-540-52337-6_26

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Citations (4)

A Lexicalist Version of MT

Sprachkommunikation (2000)

Kurt Eberle

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Extensions of Event-Structures.

European Conference on Artificial Intelligence (1988)

Kurt Eberle

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Citations (1)

Tenses as anaphora

Kurt Eberle Walter Kasper

A proposal to deal with French tenses in the framework of Discourse Representation Theory is presented, as it has been implemented for a fragment at the IMS.It is based on the theory of tenses of H. Kamp and Ch.Rohrer.

Anaphora (linguistics)

Fragment (logic)

Representation

10.3115/976815.976821

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Citations (13)

Coordination, incorporation and dynamic semantic representation in transfer

Kurt Eberle

Representation

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Corpus-based identification and disambiguation of reading indicators for German nominalizations

Ulrich Heid Kurt Eberle

Nominalization

Identification

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Citations (6)

Transfer in the Verbmobil demonstrator

Bianka Buschbeck-Wolf Miriam Butt Mariana Damova Michael Dorna Kurt Eberle

10.22028/d291-25296

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Citations (1)

On representing the temporal structure of a natural language text

Kurt Eberle

A proposal to deal with tenses in the framework of Discourse Representation Theory is presented, as it has been implemented for a fragment at the IMS for the project LILOG. It is based on the theory of tenses of H. Kamp and Ch. Rohrer. The system uses the tense and aspect information, the information about the temporal discourse structure of the preceding text stored in a specific list of possible reference times, and background knowledge. These types of information interact in order to choose a suited temporal anchor for the event of a new sentence.With respect to extended texts, choosing the right reference time for a new event is a problem which has been largely neglected in the literature.

Fragment (logic)

Representation

10.3115/992066.992114

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Citations (11)

Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra)

Rafael E. Banchs Marta R. Costa‐jussà Reinhard Rapp Patrik Lambert Kurt Eberle

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