🔗 Who cites «Harvesting Paragraph-level Question-Answer Pairs from Wikipedia»

69 papers of our library cite it (of the 141,840 whose bibliographies we read) · 7 with a page here, the most cited first · ← back to «Harvesting Paragraph-level Question-Answer Pairs from Wikipedia»

1. Unified Language Model Pre-training for Natural Language Understanding and GenerationarXiv:1905.03197Li Dong, Nan Yang, Wenhui Wang, et al.2019 · 1,406 citations
   ProphetNet: Predicting Future N-gram for Sequence-to-SequencePre-trainingFindings of the Association for Computational LinguisticsWeizhen Qi, Yu Yan, Yeyun Gong, et al.2020 · 453 citations
2. UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-TrainingarXiv:2002.12804Hangbo Bao, Li Dong, Furu Wei, et al.2020 · 384 citations
   Synthetic QA Corpora Generation with Roundtrip ConsistencyAnnual Meeting of the Association for Computational Linguistics (ACL)Chris Alberti, Daniel Andor, Emily Pitler, et al.2019 · 355 citations
   Unsupervised Question Answering by Cloze TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Patrick Lewis, Ludovic Denoyer, Sebastian Riedel2019 · 192 citations
   Addressing Semantic Drift in Question Generation for Semi-Supervised Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP)Shiyue Zhang, Mohit Bansal2019 · 174 citations
   Semantic Graphs for Generating Deep QuestionsAnnual Meeting of the Association for Computational Linguistics (ACL)Liangming Pan, Yuxi Xie, Yansong Feng, et al.2020 · 134 citations

62 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/du-2018-harvesting-paragraph-level-question-answer/cited-by/