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Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary

Meyer, Christian M. and Eckle-Kohler, Judith and Gurevych, Iryna (2016):
Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary.
In: Proceedings of the 26th International Conference on Computational Linguistics (COLING), Osaka, Japan, ISBN 978-4-87974-702-0,
[Online-Edition: http://aclweb.org/anthology/C16-1195],
[Conference or Workshop Item]

Abstract

We introduce the task of detecting cross-lingual marketing blunders, which occur if a trade name resembles an inappropriate or negatively connotated word in a target language. To this end, we suggest a formal task definition and a semi-automatic method based the propagation of pragmatic labels from Wiktionary across sense-disambiguated translations. Our final tool assists users by providing clues for problematic names in any language, which we simulate in two experiments on detecting previously occurred marketing blunders and identifying relevant clues for established international brands. We conclude the paper with a suggested research roadmap for this new task. To initiate further research, we publish our online demo along with the source code and data at http://uby.ukp.informatik.tu-darmstadt.de/blunder/.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Meyer, Christian M. and Eckle-Kohler, Judith and Gurevych, Iryna
Title: Semi-automatic Detection of Cross-lingual Marketing Blunders based on Pragmatic Label Propagation in Wiktionary
Language: English
Abstract:

We introduce the task of detecting cross-lingual marketing blunders, which occur if a trade name resembles an inappropriate or negatively connotated word in a target language. To this end, we suggest a formal task definition and a semi-automatic method based the propagation of pragmatic labels from Wiktionary across sense-disambiguated translations. Our final tool assists users by providing clues for problematic names in any language, which we simulate in two experiments on detecting previously occurred marketing blunders and identifying relevant clues for established international brands. We conclude the paper with a suggested research roadmap for this new task. To initiate further research, we publish our online demo along with the source code and data at http://uby.ukp.informatik.tu-darmstadt.de/blunder/.

Title of Book: Proceedings of the 26th International Conference on Computational Linguistics (COLING)
ISBN: 978-4-87974-702-0
Uncontrolled Keywords: UKP_a_ENLP;UKP_a_NLP4Wikis;UKP_a_WALL;UKP_p_EduWeb;UKP_p_UBY;UKP_reviewed;UKP_s_JWKTL
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
DFG-Graduiertenkollegs
DFG-Graduiertenkollegs > Research Training Group 1994 Adaptive Preparation of Information from Heterogeneous Sources
Event Location: Osaka, Japan
Date Deposited: 31 Dec 2016 14:29
Official URL: http://aclweb.org/anthology/C16-1195
Identification Number: TUD-CS-2016-1444
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