A2: Script Knowledge for Modelling Semantic Expectation

Project A2 is concerned with the development of wide-coverage, automatic methods for acquiring script knowledge, thus addressing the absence of such script knowledge bases. Since script event sequences are rarely explicit in natural prose, the project will use crowd-sourcing methods to create suitable corpora for script acquisition. These will then serve as the input for novel script-mining algorithms which will be used to induce psychologically plausible probabilistic script-automata representations.

Finally, distributional models will be applied to determine the semantic similarity of linguistic expressions, as conditioned by script knowledge – methods that are essential for applying scripts to real texts. The script resources created in this project will inform the development of experimental stimuli in A1, and will be used and evaluated directly in the models developed in A3.



Nguyen, Dai Quoc; Nguyen, Dat Quoc; Chu, Cuong Xuan; Thater, Stefan; Pinkal, Manfred

Sequence to Sequence Learning for Event Prediction Inproceedings

Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pp. 37-42, Asian Federation of Natural Language Processing, Taipei, Taiwan, 2017.

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Nguyen, Dai Quoc; Nguyen, Dat Quoc; Modi, Ashutosh; Thater, Stefan; Pinkal, Manfred

A Mixture Model for Learning Multi-Sense Word Embeddings Inproceedings

Proceedings of the 6th Joint Conference on Lexical and Computational Semantics (*SEM 2017), pp. 121-127, Association for Computational Linguistics, Vancouver, Canada, 2017.

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Wanzare, Lilian D A; Zarcone, Alessandra; Thater, Stefan; Pinkal, Manfred

Inducing Script Structure from Crowdsourced Event Descriptions via Semi-Supervised Clustering Inproceedings

Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics, pp. 1-11, Association for Computational Linguistics, Valencia, Spain, 2017.

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Wanzare, Lilian D A; Zarcone, Alessandra; Thater, Stefan; Pinkal, Manfred

A Crowdsourced Database of Event Sequence Descriptions for the Acquisition of High-quality Script Knowledge 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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Rohrbach, Marcus; Rohrbach, Anna; Regneri, Michaela; Amin, Sikandar; Andriluka, Mykhaylo; Pinkal, Manfred; Schiele, Bernt

Recognizing Fine-Grained and Composite Activities using Hand-Centric Features and Script Data Journal Article

International Journal of Computer Vision, pp. 1-28, 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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Kampmann, Alexander; Thater, Stefan; Pinkal, Manfred

A Case-Study of Automatic Participant Labeling Inproceedings

Proceedings of the International Conference of the German Society for Computational Linguistics and Language Technology (GSCL 2015), 2015.

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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



Alessandra Zarcone



Lilian Diana Awuor Wanzare