A4: Language Comprehension in a Noisy Channel to Changing Situations and Individual Users

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The central goal of project A4 is to examine how noise (or the effect of reduced hearing ability) will influence language comprehension, and how natural language generation systems can adapt their output to minimize the risk of misunderstanding. The experimental part of the project investigates neurophysiological correlates of bottom-up perceptual level and top-down predictive language processing, and how these functions interact when noise is added to the signal. In the modelling part, we propose a noisy channel model, consisting of a component that models comprehension at different levels of hearing ability (based on insights from the experimental part of the project), and a generation component that optimizes the system-generated output in order to minimize the risk of misunderstanding, while also adapting the output to a target channel capacity.

Publications

2017

Howcroft, David M; Demberg, Vera

Psycholinguistic Models of Sentence Processing Improve Sentence Readability Ranking Inproceedings

Proceedings of EACL 2017, Valencia, 2017.

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Howcroft, David ; Vogels, Jorrig ; Demberg, Vera

G-TUNA: a corpus of referring expressions in German, including duration information Inproceedings

Proc. of the 10th International Natural Language Generation Conference (INLG), pp. 149–153, Association for Computational Linguistics, Santiago de Compostela, Spain, 2017.

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Howcroft, David M; Klakow, Dietrich; Demberg, Vera

The Extended SPaRKy Restaurant Corpus: Designing a Corpus with Variable Information Density Inproceedings

Proc. Interspeech 2017, pp. 3757–3761, 2017.

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Häuser Katja; Demberg, Vera ; Kray, Jutta

Age-differences in recovery from prediction error: Evidence from a simulated driving and combined sentence verification task. Inproceedings

39th Annual Meeting of the Cognitive Science Society, 2017.

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Vogels, Jorrig; Howcroft, David; Demberg, Vera

Referential overspecification in response to the listener's cognitive load Inproceedings

International Cognitive Linguistics Conference, Tarttu, Estonia, 2017.

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2016

Schwenger, Maximilian; Torralba, Álvaro; Hoffmann, Jörg; Howcroft, David M; Demberg, Vera

From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation Inproceedings

Calzolari, Nicoletta ; Matsumoto, Yuji ; Prasad, Rashmi (Ed.): COLING 2016, 26th International Conference on Computational Linguistics, Proceedings of the Conference: Technical Papers, pp. 1524–1534, ACL, Osaka, 2016, ISBN: 978-4-87974-702-0.

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Ahrendt, Simon; Demberg, Vera

Improving event prediction by representing script participants Inproceedings

Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 546–551, Association for Computational Linguistics, San Diego, California, 2016.

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Zarcone, Alessandra; van Schijndel, Marten; Vogels, Jorrig; Demberg, Vera

Salience and attention in surprisal-based accounts of language processing Journal Article

Frontiers in Psychology, 7 (844), 2016, ISSN: 1664-1078.

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2015

Kravtchenko, Ekaterina; Demberg, Vera

Underinformative Event Mentions Trigger Context-Dependent Implicatures Inproceedings

Talk presented at Formal and Experimental Pragmatics: Methodological Issues of a Nascent Liaison (MXPRAG), Zentrum für Allgemeine Sprachwissenschaft (ZAS), Berlin, June 2015, Berlin, 2015.

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Kravtchenko, Ekaterina; Demberg, Vera

Online Processing and Interpretation of Underinformative Event Mentions Inproceedings

Discourse Expectations: Theoretical, Experimental, and Computational Perspectives (DETEC) (poster), University of Alberta, Edmonton, June 2015, 2015.

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Vogels, Jorrig; Demberg, Vera; Kray, Jutta

Cognitive Load and Individual Differences in Multitasking Abilities Conference

Workshop on Individual differences in language processing across the adult life span, 2015.

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Howcroft, David M; White, Michael

Inducing Clause-Combining Operations for Natural Language Generation Inproceedings

Proc. of the 1st International Workshop on Data-to-Text Generation, Edinburgh, Scotland, UK, 2015.

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Fischer, Andrea; Demberg, Vera; Klakow, Dietrich

Towards Flexible, Small-Domain Surface Generation: Combining Data-Driven and Grammatical Approaches Proceeding

Association for Computational Linguistics Brighton, 2015.

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Köhne, Judith; Drenhaus, Heiner; Delogu, Francesca; Demberg, Vera

The on-line processing of causal and concessive discourse connectives (under review) Inproceedings

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Jutta Kray

PI

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Vera Demberg

PI

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Dietrich Klakow

PI

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David M Howcroft

PhD

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Katja Häuser

Postdoc

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