🏢 Works of Microsoft from 2018

10 works · the most cited first · ← Microsoft

1. Findings of the 2018 Conference on Machine Translation (WMT18)Conference on Machine Translation: Shared Task PapersOndřej Bojar, Christian Federmann, Mark Fishel, et al.2018 · 750 citations
2. Marian: Fast Neural Machine Translation in C++arXiv:1804.00344Marcin Junczys-Dowmunt, Roman Grundkiewicz, Tomasz Dwojak, et al.2018 · 506 citations
3. Deep Communicating Agents for Abstractive SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, et al.2018 · 438 citations
4. Baseline Needs More Love: On Simple Word-Embedding-Based Models and Associated Pooling MechanismsAnnual Meeting of the Association for Computational Linguistics (ACL)Dinghan Shen, Guoyin Wang, Wenlin Wang, et al.2018 · 385 citations
5. Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention NetworksConference on Empirical Methods in Natural Language Processing (EMNLP)Yao Zhao, Xiaochuan Ni, Yuanyuan Ding, et al.2018 · 377 citations
6. Universal Neural Machine Translation for Extremely Low Resource LanguagesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jiatao Gu, Hany Hassan, Jacob Devlin, et al.2018 · 358 citations
7. A Study of Reinforcement Learning for Neural Machine TranslationConference on Empirical Methods in Natural Language Processing (EMNLP)Lijun Wu, Fei Tian, Tao Qin, et al.2018 · 234 citations
8. Dual Conditional Cross-Entropy Filtering of Noisy Parallel CorporaConference on Machine Translation: Shared Task PapersMarcin Junczys-Dowmunt2018 · 200 citations
9. LCQMC:A Large-scale Chinese Question Matching CorpusInternational Conference on Computational Linguistics (COLING)Xin Liu, Qingcai Chen, Chong Deng, et al.2018 · 164 citations
10. Unsupervised Text Style Transfer using Language Models as DiscriminatorsarXiv:1805.11749Zichao Yang, Zhiting Hu, Chris Dyer, et al.2018 · 157 citations

This page in Markdown → https://md.research.elamur.ai/free/en/companies/microsoft/year/2018/