Publications

Journal articles and conference papers


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  • Using Explicit Discourse Connectives in Translation for Implicit Discourse Relation Classification.
    Wei Shi, Frances Yung, Raphael Rubino, and Vera Demberg.
    In Proceedings of the8th International Joint Conference on Natural Language Processing (IJCNLP), Taipei / Taiwan, 2017.  https://www.aclweb.org/anthology/I17-1049.pdf
  • G-TUNA: a corpus of referring expressions in German, including duration information.
    David M. Howcroft, Jorrig Vogels, and Vera Demberg.
    In Proceedings of the 10th International Conference on Natural Language Generation (INLG), 2017. 10.18653/v1/W17-3522
  • The Extended SPaRKy Restaurant Corpus: designing a corpus with variable information density.
    David M. Howcroft, Dietrich Klakow, and Vera Demberg.
    In Proceedings of the 18th Annual Conference of the International Speech Communication Association (INTERSPEECH), 2017. http://dx.doi.org/10.21437/Interspeech.2017-1555
  • Examples and specifications that prove a point: Distinguishing between elaborative and argumentative discourse relations.
    Merel C. J. Scholman and Vera Demberg.
    Dialogue and Discourse, 2017. https://doi.org/10.5087/dad.2017.203
  • 'On the one hand' as a cue to anticipate upcoming discourse structure. 
    Merel C. J. Scholman, Hannah Rohde and Vera Demberg. Journal of Memory and Language,2017. https://doi.org/10.1016/j.jml.2017.07.010
  • Modeling semantic expectations: Using script knowledge for referent prediction. 
    Ashutosh Modi, Ivan Titov, Vera Demberg, Asad Sayeed, and Manfred Pinkal. Transactions of the Association for Computational Linguistics (TACL), 2017.https://doi.org/10.1162/tacl_a_00044
  • Crowdsourcing discourse interpretations: On the influence of context and the reliability of a connective insertion task. 
    Merel Scholman and Vera Demberg.
    In Proceedings of the Linguistic Annotation Workshop (LAW), 2017. https://doi.org/10.18653/v1/W17-0803
  • A systematic study of neural discourse models for implicit discourse relation. 
    Attapol T. Rutherford, Vera Demberg, and Nianwen Xue.In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL), 2017.https://doi.org/10.18653/v1/e17-1027
  • Psycholinguistic models of sentence processing improve sentence readability ranking.
    David Howcroft and Vera Demberg.
    In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL), 2017. https://doi.org/10.18653/v1/e17-1090
  • On the need of cross validation for discourse relation classification.
    Wei Shi and Vera Demberg.
    In Proceedings of the European Chapter of the Association for Computational Linguistics (EACL), 2017. https://doi.org/10.18653/v1/e17-2024

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  • From OpenCCG to AI planning: Detecting infeasible edges in sentence generation.
    Maximilian Schwenger, Alvaro Torralba, Jörg Hoffmann, David M. Howcroft, and Vera Demberg
    In Proceedings of the 26th International Conference on Computational Linguistics (Coling’16), Osaka, Japan, 2016.
  • Salience and attention in surprisal-based accounts of language processing.
    Alessandra Zarcone, Marten van Schijndel, Jorrig Vogels, and Vera Demberg.
    Frontiers in Psychology, 7(844), 2016. 
  • The frequency of rapid pupil dilations as a measure of linguistic processing difficulty.
    Vera Demberg and Asad Sayeed.
    PLOS ONE, 11(1), 2016. 
  • Search challenges in natural language generation with complex optimization objectives.
    Vera Demberg, JörgHoffmann, David M.Howcroft, Dietrich Klakow, and Álvaro Torralba.
    KI - Künstliche Intelligenz, 30(1), 63–69, 2016. 
  • Information density and linguistic encoding (ideal). 
    Matthew W. Crocker, Vera Demberg, and Elke Teich.
    KI, 30(1), 77–81, 2016.
  • Event participant modelling with neural networks.
    Ottokar Tilk, Vera Demberg, Asad B. Sayeed, Dietrich Klakow, and Stefan Thater.
    In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016, pages 171–182, 2016.
  • Annotating discourse relations in spoken language: A comparison of the PDTB and CCR frameworks.
    Ines Rehbein, Merel Scholman, and Vera Demberg.
    In Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, Portoroz, Slovenia, May 23-28,2016.
  • Lingoturk: managing crowdsourced tasks for psycholinguistics. 
    Florian Pusse, Asad B. Sayeed, and Vera Demberg.
    In Proceedings of the Demonstrations Session, NAACL HLT 2016, The 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016, pp. 57–61, 2016.
  • Roleo: visualising thematic fit spaces on the web.
    Asad B. Sayeed, Xudong Hong, and Vera Demberg.
    In Proceedings of the Demonstrations Session, NAACL HLT 2016, The 2016 Conference of the North Ameri- can Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego California, USA, June 12-17, 2016.
  • Improving event prediction by representing script participants. 
    Simon Ahrendt and Vera Demberg.
    In Proceedings of the 15th Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, San Diego, California, 2016.

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  • Improving unsupervised vector-space thematic fit evaluation via role-filler prototype clustering. 
    Clayton Greenberg, Asad B. Sayeed, and Vera Demberg.
    In NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31 - June 5, 2015, pp. 21–31, 2015.
  • Verb polysemy and frequency effects in thematic fit modeling. 
    Clayton Greenberg, Vera Demberg, and Asad B. Sayeed.
    In Proceedings of the 6th Workshop on Cognitive Modeling and Computational Linguistics (CMCL), p. 4857, Denver, Colorado, USA, 2015.
  • Learning to predict script events from domain-specific text.
    Rachel Rudinger, Vera Demberg, Ashutosh Modi, Benjamin Van Durme, and Manfred Pinkal.
    In Proceedings of the Fourth Joint Conference on Lexical and Computational Semantics, *SEM 2015, June 4-5, 2015, Denver, Colorado, USA,pp. 205–210, 2015.
  • Semantically underinformative utterances trigger pragmatic inferences. 
    Ekaterina Kravtchenko and Vera Demberg.
    In Proceedings of the 37th Annual Meeting of the Cognitive Science Society, CogSci 2015, Pasadena, California, USA, July 22-25, 2015, 2015.
  • Towards flexible, small-domain surface generation: Combining data-driven and grammatical approaches.
    Andrea Fischer, Vera Demberg, and Dietrich Klakow.
    In ENLG 2015 - Proceedings of the 15th European Workshop on Natural Language Generation, 10-11 September 2015, University of Brighton, Brighton, UK, pp. 105–108, 2015.
  • Vector-space calculation of semantic surprisal for predicting word pronunciation duration.
    Asad B. Sayeed, Stefan Fischer, and Vera Demberg.
    In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, China, Volume 1: Long Papers, pp. 763–773, 2015.
  • Uniform information density at the level of discourse relations: Negation markers and discourse connective omission.
    Fatemeh Torabi Asr and Vera Demberg.
    In Proceedings of the 11th International Conference on Computational Semantics (IWCS), 2015.

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  • Combining unsupervised syntactic and semantic models of thematic fit.
    Asad Sayeed and Vera Demberg.
    In Proceedings of the First Italian Conference on Computational Linguistics (CLIC-it), 2014.
  • Incremental semantic role labeling with tree adjoining grammar.
    Ioannis Konstas, Frank Keller, Vera Demberg, and Mirella Lapata.
    In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, 2014.
  • Incremental and predictive discourse processing based on causal and concessive discourse markers: ERP studies on German and English. 
    Heiner Drenhaus, Vera Demberg, Judith Koehne, and Francesca Delogu.
    In Proceedings of the 36th Annual Meeting of the Cognitive Science Society (CogSci-14), p. 403-409; 2014.

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  • Incremental, predictive parsing with psycholinguistically motivated tree-adjoining grammar.
    Vera Demberg, Frank Keller, and Alexander Koller.
    Computational Linguistics,39(4), 2013.
  • Measuring linguistically-induced cognitive load during driving using the contre task.
    Vera Demberg, Asad Sayeed, Angela Mahr, and Christian Müller.
    In Proceedings of the 5th International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutoUI), Eindhoven, The Netherlands, 2013.
  • The semantic augmentation of a psycholinguistically-motivated syntactic formalism.
    Asad Sayeed and Vera Demberg.
    In Proceedings of the Fourth Annual Workshop on Cognitive Modeling and Computational Linguistics (CMCL), pp. 57–65, Sofia, Bulgaria, August 2013. Association for Computational Linguistics.
  • On the information conveyed by discourse markers. 
    Fatemeh Torabi Asr and Vera Demberg.
    In Proceedings of the ACL Workshop on Cognitive Modeling and Computational Linguistics (CMCL), pp. 84–93, Sofia, Bulgaria, 2013. Association for Computational Linguistics.
  • Language and cognitive load in a dual task environment.
    Nikolaos Engonopoulos, Asad Sayeed, and Vera Demberg.
    In M. Knauff, M. Pauen, N. Sebanz, and I. Wachsmuth, editors, Proceedings of the 35th Annual Meeting of the Cognitive Science Society (CogSci-13), pp. 2249–2254, 2013.
  • The index of cognitive activity as a measure of linguistic processing.
    Vera Demberg, Evangelia Kiagia, and Asad Sayeed.
    In M. Knauff, M. Pauen, N. Sebanz, and I. Wachsmuth, editors, Proceedings of the 35th Annual Meeting of the Cognitive Science Society (CogSci-13), pp. 2148–2153, 2013.
  • Pupillometry: the index of cognitive activity in a dual-task study.
    Vera Demberg.
    In M. Knauff, M. Pauen, N. Sebanz, and I. Wachsmuth, editors, Proceedings of the 35th Annual Meeting of the Cognitive Science Society (CogSci-13), pp. 2154–2159, 2013.
  • Integration costs on auxiliaries? – a self-paced reading study using webexp.
    Vera Demberg.
    In M. Knauff, M. Pauen, N. Sebanz, and I. Wachsmuth, editors, Proceedings of the 35th Annual Meeting of the Cognitive Science Society (CogSci-13), pp. 2160–2165, 2013.
  • Identifying predictive collocations.
    Silas Weinbach and Vera Demberg.
    In M. Knauff, M. Pauen, N. Sebanz, and I. Wachsmuth, editors, Proceedings of the 35th Annual Conference of the Cognitive Science Society (CogSci-13), pp. 1581–1586, 2013.
  • The Time-course of Processing Discourse Connectives.
    Judith Köhne and Vera Demberg.
    In M. Knauff, M. Pauen, N. Sebanz, and I. Wachsmuth, editors, Proceedings of the 35th Annual Meeting of the Cognitive Science Society (CogSci-13), pp. 2760–2765, 2013.

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  • Measuring the strength of linguistic cues for discourse relations.
    Fatemeh Torabi Asr and Vera Demberg.
    In Proceedings of the COLING Workshop on Advances in Discourse Analysis and its Computational Aspects (ADACA), pp. 33–42, Mumbai, India, 2012.
  • Implicitness of discourse relations.
    Fatemeh Torabi Asr and Vera Demberg.
    In Proceedings of the 24th International Conference on Computational Linguistics (COLING), pp. 2669–2684, 2012.
  • Incremental neo-davidsonian semantic construction for tag.
    Asad Sayeed and Vera Demberg.
    In 11th Work- shop on Tree-Adjoining Grammars and Related Formalisms (TAG+ 11), pp. 64–72, Paris, France, 2012.
  • Incremental derivations in ccg.
    Vera Demberg.
    In Proceedings of the 11th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+ 11), pp. 198–206, 2012.
  • Syntactic surprisal affects spoken word duration in conversational contexts.
    Vera Demberg, Asad B Sayeed, Philip J Gorinski, and Nikolaos Engonopoulos.
    In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, pp. 356–367. Association for Computational Linguistics, 2012.
  • German and english treebanks and lexica for tree-adjoining grammars.
    Miriam Kaeshammer and Vera Demberg.
    In Proceedings of the 8th International Conference on Language Resources and Evaluation, pp. 1880–1887, 2012.

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  • Linguistic cognitive load: implications for automotive uis.
    Vera Demberg and Asad Sayeed.
    In Adjunct Proceedings of the 3rd International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI 2011), 2011.
  • A strategy for information presentation in spoken dialog systems.
    Vera Demberg, Andi Winterboer, and Johanna D. Moore.
    Computational Linguistics, 37(3), pp. 489–539, 2011.

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  • A Broad-Coverage Model of Prediction in Human Sentence Processing. 
    Vera Demberg-Winterfors.
    PhD thesis, School of Informatics, The University of Edinburgh, 2010. Published in CPHC/BCS Distinguished Dissertations.
  • Syntactic and semantic factors in processing difficulty: An integrated measure.
    Jeff Mitchell, Mirella Lapata, Vera Demberg, and Frank Keller.
    In Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics, pp. 196–206, Uppsala, Sweden, July 2010.

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  • A computational model of prediction in human parsing: Unifying locality and surprisal effects. 
    Vera Demberg and Frank Keller.
    In N. A. Taatgent and H. van Rijn, editors, Proceedings of the 31st meeting of the Cognitive Science Society, pp.1888–1893, Amsterdam, 2009.
  • Correcting the incorrect: Local coherence effects modeled with prior belief update.
    Klinton Bicknell, Roger Levy, and Vera Demberg.
    In Proceedings of the 35th annual meeting of the Berkeley linguistics society, pp. 13–24, 2009.

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  • A psycholinguistically motivated version of TAG.
    Vera Demberg and Frank Keller.
    In Proceedings of the 9th International Workshop on Tree Adjoining Grammars and Related Formalisms (TAG+9), Tübingen, Germany, July 2008.
  • Data from eye-tracking corpora as evidence for theories of syntactic processing complexity.
    Vera Demberg and Frank Keller. Cognition, 109, pp. 193–210, 2008.
  • Syntactic complexity induces explicit grounding in the maptask corpus.
    Vera Demberg, Martin Tietze, and Johanna D. Moore.
    In Proceedings of Interspeech, Brisbane, Australia, 2008.

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  • Eye-tracking evidence for integration cost effects in corpus data.
    Vera Demberg and Frank Keller.
    In Proceedings of the 29th Annual Conference of the Cognitive Science Society, pp. 947–952, Nashville, 2007. Cognitive Science Society.
  • Phonological constraints and morphological preprocessing for grapheme-to-phoneme conversion.
    Vera Demberg, Helmut Schmid, and Gregor Möhler.
    In Annual Meeting-Association For Computational Linguis- tics, volume 45, pages 97–103, 2007.
  • A language-independent unsupervised model for morphological segmentation.
    Vera Demberg.
    In Annual Meeting-Association For Computational Linguistics, 45, pp. 920–927, 2007.

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  • Information presentation in spoken dialogue systems.
    Vera Demberg and Johanna D. Moore.
    In Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics, pp. 65–72, 2006.

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  • Tiger Annotationsschema. 
    Stefanie Albert, Jan Anderssen, Regine Bader, Stephanie Becker, Tobias Bracht, Sabine Brants, Thorsten Brants, Vera Demberg, Stefanie Dipper, Peter Eisenberg, et al.
    Universität des Saarlandes and Universität Stuttgart and Universität Potsdam, 2003.