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BOOKS
NEW ARTICLES [ALL PUBS] [GOOGLE SCHOLAR] William L. Hamilton, Jure Leskovec, and Dan Jurafsky. 2016. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. Proceedings of ACL. [pdf] Vinodkumar Prabhakaran, William L. Hamilton, Dan McFarland, and Dan Jurafsky. 2016. Predicting the Rise and Fall of Scientific Topics from Trends in their Rhetorical Framing. Proceedings of ACL 2016. [pdf] Jiwei Li, Xinlei Chen, Eduard Hovy and Dan Jurafsky. 2016. Visualizing and Understanding Neural Models in NLP. Proceedings of NAACL 2016. [pdf] Dan Jurafsky. 2016. "Tea." Encyclopedia of Chinese Language and Linguistics. Rint Sybesma, Wolfgang Behr, Yueguo Gu, Zev Handel, C.-T. James Huang, and James Myers (Eds). Leiden: Brill. Kao, Justine T. and Dan Jurafsky. 2015. A computational analysis of poetic style: Imagism and its influence on modern professional and amateur poetry. Linguistic Issues in Language Technology 12:3, 1-31 [pdf] [bib] Jiwei Li and Dan Jurafsky. 2015. Do Multi-Sense Embeddings Improve Natural Language Understanding? Proceedings of EMNLP 2015. [pdf, bib] Jiwei Li, Minh-Thang Luong, Dan Jurafsky and Eduard Hovy. 2015. When Are Tree Structures Necessary for Deep Learning of Representations? Proceedings of EMNLP 2015. [pdf, bib] Podesva, Robert J., Patrick Callier, Rob Voigt, and Dan Jurafsky. 2015. The connection between smiling and GOAT fronting: Embodied affect in sociophonetic variation. Proceedings of the International Congress of Phonetic Sciences 18. [pdf] [bib] Jiwei Li, Thang Luong, and Dan Jurafsky. 2015. A Hierarchical Neural Autoencoder for Paragraphs and Documents. Proceedings of ACL 2015. [pdf] [bib] Rob Voigt and Dan Jurafsky. 2015. The Users Who Say "Ni": Audience Identification in Chinese-language Restaurant Reviews. Proceedings of ACL 2015. [pdf] [bib] Andrew L. Maas, Ziang Xie, Dan Jurafsky, and Andrew Y. Ng. 2015. Lexicon-Free Conversational Speech Recognition with Neural Networks. Proceedings of NAACL 2015. [pdf] [bib] |