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Extraction of transforming sequences and sentence histories from writing process data : a first step towards linguistic modeling of writing ...
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Are we summarizing the right way? : a survey of dialogue summarization data sets ...
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The Sentence End and Punctuation Prediction in NLG text (SEPP-NLG) shared task 2021 ...
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Are We Summarizing the Right Way? A Survey of Dialogue Summarization Data Sets ...
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University of Regensburg @ SwissText 2021 SEPP-NLG: Adding Sentence Structure to Unpunctuated Text
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Spot The Bot : a robust and efficient framework for the evaluation of conversational dialogue systems ...
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German compound splitting using the compound productivity of morphemes ...
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Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation ...
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Machine Translation of Spanish Personal and Possessive Pronouns Using Anaphora Probabilities ...
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A method for in-depth comparative evaluation: How (dis)similar are outputs of POS taggers, dependency parsers and coreference resolvers really? ...
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Tuggener, Don. - : Association for Computational Linguistics, 2017
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Co-reference Resolution of Elided Subjects and Possessive Pronouns in Spanish-English Statistical Machine Translation
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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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A method for in-depth comparative evaluation: How (dis)similar are outputs of POS taggers, dependency parsers and coreference resolvers really?
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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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Incremental Coreference Resolution for German
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In: Tuggener, Don. Incremental Coreference Resolution for German. 2016, University of Zurich, Faculty of Arts. (2016)
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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
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Keyword:
000 Computer science; 410 Linguistics; Coreference Resolution; Institute of Computational Linguistics; knowledge & systems; Pronoun Resolution; UZH Dissertations
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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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Coreference resolution evaluation for higher level applications ...
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Tuggener, Don. - : Association for Computational Linguistics, 2014
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A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks
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Coreference resolution evaluation for higher level applications
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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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A Hybrid Entity-Mention Pronoun Resolution Model for German Using Markov Logic Networks
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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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UZH in BioNLP 2013
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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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