Computational Linguistics & Phonetics Computational Linguistics & Phonetics Fachrichtung 4.7 Universität des Saarlandes

Seminar: Diskurs

Leitung: Prof. Dr. Vera Demberg, Merel Scholman
Ort: Geb C 7.3 Raum 1.15
Zeit: Mi 14-16
Beginn: 19.4.2017
Geeignet für: B.Sc.

Literaturliste

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Human discourse comprehension

Kuperberg, Gina R., Martin Paczynski, and Tali Ditman. "Establishing causal coherence across sentences: An ERP study." Journal of Cognitive Neuroscience 23.5 (2011): 1230-1246.

Rohde, Hannah, Roger Levy, and Andrew Kehler. "Anticipating explanations in relative clause processing." Cognition 118.3 (2011): 339-358.

Köhne, Judith, and Vera Demberg. "The time-course of processing discourse connectives." CogSci. 2013.

Asr, F. T., & Demberg, V. (2012). Implicitness of Discourse Relations. In Coling (pp. 2669-2684).

Rohde, H., Dickinson, A., Schneider, N., Clark, C. N., Louis, A., & Webber, B. (2016). Filling in the Blanks in Understanding Discourse Adverbials: Consistency, Conflict, and Context-Dependence in a Crowdsourced Elicitation Task. LAW X, 49.

Rohde, Hannah, and William S. Horton. "Anticipatory looks reveal expectations about discourse relations." Cognition 133.3 (2014): 667-691.

Automatic discourse parsing

Emily Pitler, Annie Louis, Ani Nenkova. Automatic sense prediction for implicit discourse relations in text. Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 2

Park, Joonsuk, and Claire Cardie. "Improving implicit discourse relation recognition through feature set optimization." Proceedings of the 13th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Association for Computational Linguistics, 2012.

Rutherford, Attapol, and Nianwen Xue. "Discovering Implicit Discourse Relations Through Brown Cluster Pair Representation and Coreference Patterns." EACL. Vol. 645. 2014.

Ji, Yangfeng, and Jacob Eisenstein. "One Vector is Not Enough: Entity-Augmented Distributed Semantics for Discourse Relations." Transactions of the Association for Computational Linguistics 3 (2015): 329-344.

Rutherford, Attapol T., Vera Demberg, and Nianwen Xue. "A Systematic Study of Neural Discourse Models for Implicit Discourse Relation." Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers, pages 281–291, Valencia, Spain, April 3-7, 2017. c 2017 Association for Computational Linguistics

Shi, Wei and Vera Demberg. "On the Need of Cross Validation for Discourse Relation Classification." EACL 2017 (2017): 150.

Hermann, K. M., Kocisky, T., Grefenstette, E., Espeholt, L., Kay, W., Suleyman, M., & Blunsom, P. (2015). Teaching machines to read and comprehend. In Advances in Neural Information Processing Systems (pp. 1693-1701).


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