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ORCIDEMNLP-IJCNLP 2019: Hong Kong, China - Tutorial Abstracts
- Timothy Baldwin, Marine Carpuat:
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019 - Tutorial Abstracts. Association for Computational Linguistics 2019 - Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola:
Dive into Deep Learning for Natural Language Processing. - Monojit Choudhury, Anirudh Srinivasan, Sandipan Dandapat:
Processing and Understanding Mixed Language Data. - Tsung-Hsien Wen, Pei-Hao Su, Pawel Budzianowski, Iñigo Casanueva, Ivan Vulic:
Data Collection and End-to-End Learning for Conversational AI. - Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez:
Bias and Fairness in Natural Language Processing. - Lili Mou, Hao Zhou, Lei Li:
Discreteness in Neural Natural Language Processing. - Shikhar Vashishth, Naganand Yadati, Partha P. Talukdar:
Graph-based Deep Learning in Natural Language Processing. - Goran Glavas, Edoardo Maria Ponti, Ivan Vulic:
Semantic Specialization of Distributional Word Vectors.
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