🧑🔬 Ming-Wei Chang — papers of 2019 — Elamur Research5 papers · all years of Ming-Wei ChangBERT: Pre-training of Deep Bidirectional Transformers for Language UnderstandingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Jacob Devlin, Ming-Wei Chang, Kenton Lee, et al.2019 · 56,209 citationsBoolQ: Exploring the Surprising Difficulty of Natural Yes/No QuestionsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Christopher Clark, Kenton Lee, Ming-Wei Chang, et al.2019 · 1,330 citationsLatent Retrieval for Weakly Supervised Open Domain Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Kenton Lee, Ming-Wei Chang, Kristina Toutanova2019 · 1,253 citationsWell-Read Students Learn Better: On the Importance of Pre-training Compact ModelsarXiv:1908.08962Iulia Turc, Ming-Wei Chang, Kenton Lee, et al.2019 · 678 citationsHandling Divergent Reference Texts when Evaluating Table-to-Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Bhuwan Dhingra, Manaal Faruqui, Ankur Parikh, et al.2019 · 268 citationsThis page in Markdown → https://md.research.elamur.ai/free/en/authors/ming-wei-chang/year/2019/