2017 ARTICLES [ALL PUBS] [GOOGLE SCHOLAR]
David Jurgens, Yulia Tsvetkov, and Dan Jurafsky. 2017. Incorporating Dialectal Variability for Socially Equitable Language Identification. To appear in Proceedings of ACL 2017, Vancouver.
Brad Turnwald, Dan Jurafsky, Alana Connor, and Alia Crum, (2017 in press). Reading between the menu lines: Are restaurants' descriptions of "healthy" foods unappealing? Health Psychology.
Ziang Xie, Sida I. Wang, Jiwei Li, Daniel Lévy, Aiming Nie, Dan Jurafsky, Andrew Y. Ng. 2017. Data Noising as Smoothing in Neural Network Language Models. Proceedings of ICLR 2017.
Heeyoung Lee, Mihai Surdeanu, and Dan Jurafsky. 2017. A scaffolding approach to coreference resolution integrating statistical and rule-based models. Natural Language Engineering. [pre-publication pdf version].
Justine Zhang, William L. Hamilton, Cristian Danescu-Niculescu-Mizil, Jure Leskovec, Dan Jurafsky. 2017 (to appear) Community Identity and User Engagement in a Multi-Community Landscape. Proceedings of ICWSM 2017
William L. Hamilton, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec, Dan Jurafsky. 2017 (to appear) Loyalty in Online Communities. Proceedings of ICWSM 2017 (short paper).
Grace Muzny, Michael Fang, Angel X. Chang and Dan Jurafsky. 2017. A Two-stage Sieve Approach for Quote Attribution. Proceedings of the European Chapter of the Association for Computational Linguistics (EACL) 2017, Valencia, Spain. [pdf, bib, data]
Andrew L. Maas, Peng Qi, Ziang Xie, Awni Y. Hannun, Christopher T. Lengerich, Daniel Jurafsky, Andrew Y. Ng. 2017. Building DNN acoustic models for large vocabulary speech recognition. Computer Speech & Language, Volume 41, Pages 195-213. [Earlier ArXiv version]