Publications
This section contains publications published by ISI over the past several decades.
2019
A universal parent model for low-resource neural machine translation transfer
Mozhdeh Gheini, Jonathan May
arXiv preprint arXiv:1909.06516, 2019
What matters for neural cross-lingual named entity recognition: An empirical analysis
Xiaolei Huang, Jonathan May, Nanyun Peng
arXiv preprint arXiv:1909.03598, 2019
Comprehensible context-driven text game playing
Xusen Yin, Jonathan May
2019 IEEE Conference on Games (CoG), 1-8, 2019
Learn how to cook a new recipe in a new house: Using map familiarization, curriculum learning, and bandit feedback to learn families of text-based adventure games
Xusen Yin, Jonathan May
arXiv preprint arXiv:1908.04777, 2019
Translating translationese: A two-step approach to unsupervised machine translation
Nima Pourdamghani, Nada Aldarrab, Marjan Ghazvininejad, Kevin Knight, Jonathan May
arXiv preprint arXiv:1906.05683, 2019
Proceedings of the 13th International Workshop on Semantic Evaluation
Jonathan May, Ekaterina Shutova, Aurélie Herbelot, Xiaodan Zhu, Marianna Apidianaki, Saif Mohammad
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
Cross-lingual multi-level adversarial transfer to enhance low-resource name tagging
Lifu Huang, Heng Ji, Jonathan May
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
A grounded unsupervised universal part-of-speech tagger for low-resource languages
Ronald Cardenas, Ying Lin, Heng Ji, Jonathan May
arXiv preprint arXiv:1904.05426, 2019
Learn how to cook a new recipe in a new house: Using map familiarization, curriculum learning, and common sense to learn families of text-based adventure games
Xusen Yin, Jonathan May
arXiv preprint arXiv:1908.04777, 2019
AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging
Bill Yuchen Lin*, Dong-Ho Lee*, Frank F Xu, Ouyu Lan, Xiang Ren
ACL 2019, 2019
Fake news detection using deep learning
Dong-Ho Lee, Yu-Ri Kim, Hyeong-Jun Kim, Seung-Myun Park, Yu-Jun Yang
Journal of Information Processing Systems 15 (5), 1119-1130, 2019
Influence Maximization for Social Good: Use of Social Networks in Low Resource Communities
Amulya Yadav
arXiv preprint arXiv:1912.02105, 2019
Predicting and explaining behavioral data with structured feature space decomposition
Peter G Fennell, Zhiya Zuo, Kristina Lerman
EPJ Data Science 8 (1), 1-27, 2019
Mixhop: Higher-order graph convolutional architectures via sparsified neighborhood mixing
Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, Aram Galstyan
international conference on machine learning, 21-29, 2019
Discovering hidden structure in high dimensional human behavioral data via tensor factorization
Homa Hosseinmardi, Hsien-Te Kao, Kristina Lerman, Emilio Ferrara
arXiv preprint arXiv:1905.08846, 2019
The Web Conference 2019 Companion Volume Preface
Sihem Amer-Yahia, Geert Jan Houben, Mohammad Madian, Kristina Lerman, Ashish Goel, Julian McAuley
The web conference 2019: 30 years of the web, III, 2019
PhD symposium chairs' welcome
Geert-Jan Houben, Kristina Lerman
The web conference 2019: 30 years of the web, 1-1, 2019
Diffusion in social networks: Effects of monophilic contagion, friendship paradox, and reactive networks
Buddhika Nettasinghe, Vikram Krishnamurthy, Kristina Lerman
IEEE Transactions on Network Science and Engineering 7 (3), 1121-1132, 2019
Macow: Masked convolutional generative flow
Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard Hovy
Thirty-third Conference on Neural Information Processing Systems (NeurIPS-2019), 2019
Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages
Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng
Proceedings of the 23nd Conference on Computational Natural Language …, 2019