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1
Extraction of transforming sequences and sentence histories from writing process data : a first step towards linguistic modeling of writing ...
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2
Are we summarizing the right way? : a survey of dialogue summarization data sets ...
Tuggener, Don; Mieskes, Margot; Deriu, Jan Milan. - : Association for Computational Linguistics, 2021
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3
The Sentence End and Punctuation Prediction in NLG text (SEPP-NLG) shared task 2021 ...
Tuggener, Don; Aghaebrahimian, Ahmad. - : CEUR Workshop Proceedings, 2021
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4
Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets ...
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5
University of Regensburg @ SwissText 2021 SEPP-NLG: Adding Sentence Structure to Unpunctuated Text
Donabauer, Gregor; Kruschwitz, Udo. - : RWTH Aachen, 2021
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6
Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems ...
Deriu, Jan Milan; Tuggener, Don; Von Däniken, Pius. - : Association for Computational Linguistics, 2020
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7
German compound splitting using the compound productivity of morphemes ...
Sugisaki, Kyoko; Tuggener, Don. - : Austrian Academy of Sciences Press, 2018
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8
Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation ...
Rios, Annette; Tuggener, Don. - : Association for Computational Linguistics, 2017
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9
Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities ...
Luong, Ngoc Quang; Popescu-Belis, Andrei; Rios Gonzales, Annette. - : Association for Computational Linguistics, 2017
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10
A method for in-depth comparative evaluation: How (dis)similar are outputs of POS taggers, dependency parsers and coreference resolvers really? ...
Tuggener, Don. - : Association for Computational Linguistics, 2017
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11
Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation
In: Rios, Annette; Tuggener, Don (2017). Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation. In: 15th Conference of the European Chapter of the Association for Computational Linguistics, Valencia, Spain, 3 April 2017 - 7 April 2017. Association for Computational Linguistics, 657-662. (2017)
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12
A method for in-depth comparative evaluation: How (dis)similar are outputs of POS taggers, dependency parsers and coreference resolvers really?
In: Tuggener, Don (2017). A method for in-depth comparative evaluation: How (dis)similar are outputs of POS taggers, dependency parsers and coreference resolvers really? In: 15th Conference of the European Chapter of the Association for Computational Linguistics, Valencia, Spain, 3 April 2017 - 7 April 2017. Association for Computational Linguistics, 188-198. (2017)
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13
Incremental Coreference Resolution for German
Tuggener, Don. - 2016
In: Tuggener, Don. Incremental Coreference Resolution for German. 2016, University of Zurich, Faculty of Arts. (2016)
Abstract: The main contributions of this thesis are as follows: 1. We introduce a general model for coreference and explore its application to German. • The model features an incremental discourse processing algorithm which allows it to coherently address issues caused by underspecification of mentions, which is an especially pressing problem regarding certain German pronouns. • We introduce novel features relevant for the resolution of German pronouns. A subset of these features are made accessible through the incremental architecture of the discourse processing model. • In evaluation, we show that the coreference model combined with our features provides new state-of-the-art results for coreference and pronoun resolution for German. 2. We elaborate on the evaluation of coreference and pronoun resolution. • We discuss evaluation from the view of prospective downstream applications that benefit from coreference resolution as a preprocessing component. Addressing the shortcomings of the general evaluation framework in this regard, we introduce an alternative framework, the Application Related Coreference Scores (ARCS). • The ARCS framework enables a thorough comparison of different system outputs and the quantification of their similarities and differences beyond the common coreference evaluation. We demonstrate how the framework is applied to state-of-the-art coreference systems. This provides a method to track specific differences in system outputs, which assists researchers in comparing their approaches to related work in detail. 3. We explore semantics for pronoun resolution. • Within the introduced coreference model, we explore distributional approaches to estimate the compatibility of an antecedent candidate and the occurrence context of a pronoun. We compare a state-of-the-art approach for word embeddings to syntactic co-occurrence profiles to this end. • In comparison to related work, we extend the notion of context and thereby increase the applicability of our approach. We find that a combination of both compatibility models, coupled with the coreference model, provides a large potential for improving pronoun resolution performance. We make available all our resources, including a web demo of the system, at: http://pub.cl.uzh.ch/purl/coreference-resolution
Keyword: 000 Computer science; 410 Linguistics; Coreference Resolution; Institute of Computational Linguistics; knowledge & systems; Pronoun Resolution; UZH Dissertations
URL: https://doi.org/10.5167/uzh-124915
https://www.zora.uzh.ch/id/eprint/124915/
https://www.zora.uzh.ch/id/eprint/124915/1/tuggener_diss.pdf
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14
A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks
Tuggener, Don [Verfasser]; Klenner, Manfred [Verfasser]. - Hildesheim : Universitätsbibliothek Hildesheim, 2014
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15
Coreference resolution evaluation for higher level applications ...
Tuggener, Don. - : Association for Computational Linguistics, 2014
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16
A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks
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17
Coreference resolution evaluation for higher level applications
In: Tuggener, Don (2014). Coreference resolution evaluation for higher level applications. In: 14th Conference of the European Chapter of the Association for Computational Linguistics, Gothenburg, Sweden, 26 April 2014 - 30 April 2014. Association for Computational Linguistics, 231-235. (2014)
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18
A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks
In: Tuggener, Don; Klenner, Manfred (2014). A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks. In: KONVENS 2014, Hildesheim, 8 October 2014 - 10 October 2014, 21-29. (2014)
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19
UZH in BioNLP 2013 ...
Schneider, Gerold; Clematide, Simon; Ellendorff, Tilia. - : Association for Computational Linguistics, 2013
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20
UZH in BioNLP 2013
In: Schneider, Gerold; Clematide, Simon; Ellendorff, Tilia; Tuggener, Don; Rinaldi, Fabio; Grigonyte, Gintare (2013). UZH in BioNLP 2013. In: Proceedings of the BioNLP Shared Task 2013 Workshop, Sophia, Bulgaria, 9 August 2013 - 9 August 2013, 116-120. (2013)
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