A3: Modelling the Information Density of Event Sequences in Texts

Project A3 proposes to build a model of how expected or surprising an event is within an textual description of an event sequence, and will test whether textual references to expected events differ systematically from textual references to surprising events, in a way predicted by the uniform information density hypothesis. The key resource for estimating event sequence surprisal will consist of the probabilistic script automata developed in A2. The challenge then consists of developing an incremental alignment model that maps text spans of a discourse with appropriate events in script automata. While the project will begin with the narrations from a restricted set of domains, the longer term goal is to apply the model to natural texts. The development of this model will be informed by psycholinguistic experiments carried out within the project, as well as in A1.

Publications

2016

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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Modi, Ashutosh; Anikina, Tatjana; Ostermann, Simon; Pinkal, Manfred

InScript: Narrative texts annotated with script information Inproceedings

Calzolari, Nicoletta ; Choukri, Khalid ; Declerck, Thierry ; Grobelnik, Marko ; Maegaard, Bente ; Mariani, Joseph ; Moreno, Asuncion ; Odijk, Jan ; Piperidis, Stelios (Ed.): Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016), European Language Resources Association (ELRA), Portorož, Slovenia, 2016, ISBN: 978-2-9517408-9-1.

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Kravtchenko, Ekaterina; Demberg, Vera

Informational status of redundant event mentions mediates pragmatic interpretation Miscellaneous

Poster presented at Events in Language and Cognition workshop at 29th CUNY Conference on Human Sentence Processing, University of Florida, March 2016, 2016.

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Modi, Ashutosh

Event Embeddings for Semantic Script Modeling Inproceedings

Proceedings of the Conference on Computational Natural Language Learning (CoNLL), Berlin, Germany, 2016.

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Modi, Ashutosh; Titov, Ivan; Demberg, Vera; Sayeed, Asad; Pinkal, Manfred

Modeling Semantic Expectations: Using Script Knowledge for Referent Prediction Journal Article

Transactions of ACL, 2016.

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2015

White, Michael; Howcroft, David M

Inducing Clause-Combining Rules: A Case Study with the SPaRKy Restaurant Corpus Inproceedings

Proc. of the 15th European Workshop on Natural Language Generation, Association for Computational Linguistics, Brighton, England, UK, 2015.

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Rudinger, Rachel; Demberg, Vera; Modi, Ashutosh; Van Durme, Benjamin ; Pinkal, Manfred

Learning to Predict Script Events from Domain-Specific Text Journal Article

Lexical and Computational Semantics (* SEM 2015), pp. 205, 2015.

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Batiukova, Olga; Bertinetto, Pier Marco; Lenci, Alessandro; Zarcone, Alessandra

Identifying Actional Features Through Semantic Priming: Cross-Romance Comparison Incollection

Taming the TAME systems. Cahiers Chronos 27, pp. 161–187, Rodopi, Amsterdam/Philadelphia, 2015.

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Kravtchenko, Ekaterina; Demberg, Vera

Semantically Underinformative Utterances Trigger Pragmatic Inferences Proceeding

Annual Conference of the Cognitive Science Society, CogSci Mind, Technology, and Society Pasadena Convention Center, 2015.

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Demberg, Vera; Hoffmann, Jörg; Howcroft, David M; Klakow, Dietrich; Torralba, Álvaro

Search Challenges in Natural Language Generation with Complex Optimization Objectives Journal Article

KI - Künstliche Intelligenz, 2015, ISSN: 1610-1987.

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Zarcone, Alessandra; Padó, Sebastian; Lenci, Alessandro

Same Same but Different: Type and Typicality in a Distributional Model of Complement Coercion Inproceedings

Word Structure and Word Usage. Proceedings of the NetWordS Final Conference. Pisa, March 30-April 1, 2015, pp. 91–94, Pisa, Italy, 2015.

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Stefan Thater

PI

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Vera Demberg

PI

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Manfred Pinkal

PI

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Alessandra Zarcone

Postdoc

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Ekaterina Kravtchenko

PhD

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Ashutosh Modi

PhD

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Simon Ostermann

PhD

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