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Who cites «Making Neural QA as Simple as Possible but not Simpler»

90 papers of our library cite it (of the 149,439 whose bibliographies we read) · 25 with a page here, the most cited first · ← back to «Making Neural QA as Simple as Possible but not Simpler»

  1. Adversarial Examples for Evaluating Reading Comprehension SystemsRobin Jia, Percy Liang2017 · 1,969 citations
  2. The NarrativeQA Reading Comprehension ChallengeTomáš Kočiský, Jonathan Schwarz, Phil Blunsom, et al.2018 · 1,042 citations
  3. QANet: Combining Local Convolution with Global Self-Attention for Reading ComprehensionarXiv:1804.09541Adams Wei Yu, David Dohan, Minh-Thang Luong, et al.2018 · 597 citations
  4. The Natural Language Decathlon: Multitask Learning as Question AnsweringarXiv:1806.08730Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, et al.2018 · 545 citations
  5. TIGQA: An Expert-Annotated Question-Answering Dataset in TigrinyaLanguage Resources and Evaluation Conference (LREC)Hailay Kidu Teklehaymanot, Dren Fazlija, Niloy Ganguly, et al.2024 · 4 citations

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

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