Modeling the use of graffiti style features to signal social relations within a multi-domain learning paradigm
- Author
- Mario Piergallini, A. Seza Doğruöz (UGent) , Phani Gadde, David Adamson and Carolyn Rose
- Organization
- Keywords
- social identity, Lt3, computational sociolinguistics, social media, computational social sciences
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8694789
- MLA
- Piergallini, Mario, et al. “Modeling the Use of Graffiti Style Features to Signal Social Relations within a Multi-Domain Learning Paradigm.” Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, Association for Computational Linguistics (ACL), 2014, pp. 107–15, doi:10.3115/v1/e14-1012.
- APA
- Piergallini, M., Doğruöz, A. S., Gadde, P., Adamson, D., & Rose, C. (2014). Modeling the use of graffiti style features to signal social relations within a multi-domain learning paradigm. Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 107–115. https://doi.org/10.3115/v1/e14-1012
- Chicago author-date
- Piergallini, Mario, A. Seza Doğruöz, Phani Gadde, David Adamson, and Carolyn Rose. 2014. “Modeling the Use of Graffiti Style Features to Signal Social Relations within a Multi-Domain Learning Paradigm.” In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 107–15. Association for Computational Linguistics (ACL). https://doi.org/10.3115/v1/e14-1012.
- Chicago author-date (all authors)
- Piergallini, Mario, A. Seza Doğruöz, Phani Gadde, David Adamson, and Carolyn Rose. 2014. “Modeling the Use of Graffiti Style Features to Signal Social Relations within a Multi-Domain Learning Paradigm.” In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 107–115. Association for Computational Linguistics (ACL). doi:10.3115/v1/e14-1012.
- Vancouver
- 1.Piergallini M, Doğruöz AS, Gadde P, Adamson D, Rose C. Modeling the use of graffiti style features to signal social relations within a multi-domain learning paradigm. In: Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics. Association for Computational Linguistics (ACL); 2014. p. 107–15.
- IEEE
- [1]M. Piergallini, A. S. Doğruöz, P. Gadde, D. Adamson, and C. Rose, “Modeling the use of graffiti style features to signal social relations within a multi-domain learning paradigm,” in Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, Gothenburg, Sweden, 2014, pp. 107–115.
@inproceedings{8694789,
author = {{Piergallini, Mario and Doğruöz, A. Seza and Gadde, Phani and Adamson, David and Rose, Carolyn}},
booktitle = {{Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics}},
isbn = {{9781937284787}},
keywords = {{social identity,Lt3,computational sociolinguistics,social media,computational social sciences}},
language = {{eng}},
location = {{Gothenburg, Sweden}},
pages = {{107--115}},
publisher = {{Association for Computational Linguistics (ACL)}},
title = {{Modeling the use of graffiti style features to signal social relations within a multi-domain learning paradigm}},
url = {{http://doi.org/10.3115/v1/e14-1012}},
year = {{2014}},
}
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