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Who cites «Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation»

2,179 papers of our library cite it (of the 149,439 whose bibliographies we read) · 245 with a page here, the most cited first · page 2 of 3 · 101–200 · ← back to «Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation»

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  1. Finding Function in Form: Compositional Character Models for Open Vocabulary Word RepresentationarXiv:1508.02096Wang Ling, Tiago Luis, Luis Marujo, et al.2015 · 308 citations
  2. Survey: Multiword Expression Processing: A SurveyComputational LinguisticsMathieu Constant, Gülşen Eryiǧit, Johanna Monti, et al.2017 · 296 citations
  3. A Challenge Set Approach to Evaluating Machine TranslationPierre Isabelle, Colin Cherry, George Foster2017 · 271 citations
  4. Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionarXiv:1411.4389Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.2014 · 245 citations
  5. The University of Edinburgh's Neural MT Systems for WMT17Conference on Machine Translation (WMT)Rico Sennrich, Alexandra Birch, Anna Currey, et al.2017 · 228 citations
  6. Position Information in Transformers: An OverviewComputational LinguisticsPhilipp Dufter, Martin Schmitt, Hinrich Schütze2022 · 198 citations
  7. Supervised and Unsupervised Neural Approaches to Text ReadabilityComputational LinguisticsMatej Martinc, Senja Pollak, Marko Robnik-Šikonja2021 · 190 citations
  8. Semantic Neural Machine Translation Using AMRLinfeng Song, Daniel Gildea, Yue Zhang, et al.2019 · 159 citations
  9. A Comprehensive Assessment of Dialog Evaluation MetricsThe First Workshop on Evaluations and Assessments of Neural Conversation SystemsYi-Ting Yeh, Maxine Eskenazi, Shikib Mehri2021 · 128 citations
  10. Data Augmentation for Morphological ReinflectionConference on Computational Natural Language Learning (CoNLL)Miikka Silfverberg, Adam Wiemerslage, Ling Liu, et al.2017 · 122 citations
  11. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
  12. LSTM Networks Can Perform Dynamic CountingProceedings of the Workshop on Deep Learning and Formal Languages: Building BridgesMirac Suzgun, Yonatan Belinkov, Stuart Shieber, et al.2019 · 89 citations
  13. Pragmatically Informative Text GenerationSheng Shen, Daniel Fried, Jacob Andreas, et al.2019 · 78 citations
  14. Evaluating prose style transfer with the BibleKeith Carlson, Allen Riddell, Daniel Rockmore2017 · 78 citations
  15. A Novel Hierarchical BERT Architecture for Sarcasm DetectionWorkshop on Figurative Language ProcessingHimani Srivastava, Vaibhav Varshney, Surabhi Kumari, et al.2020 · 62 citations
  16. Building a Bridge: A Method for Image-Text Sarcasm Detection Without Pretraining on Image-Text DataProceedings of the First International Workshop on Natural Language Processing Beyond TextXinyu Wang, Xiaowen Sun, Tan Yang, et al.2020 · 62 citations
  17. Guiding attention in Sequence-to-sequence models for Dialogue Act predictionAAAI 2020Pierre Colombo, Emile Chapuis, Matteo Manica, et al.2020 · 34 citations
  18. Linear algebra with transformersarXiv:2112.01898François Charton2021 · 31 citations
  19. Modeling Speech Acts in Asynchronous Conversations: A Neural-CRF ApproachShafiq Joty, Tasnim Mohiuddin2018 · 20 citations
  20. A Survey on Automated Sarcasm Detection on TwitterarXiv:2202.02516Bleau Moores, Vijay Mago2022 · 19 citations
  21. BinLin: A Simple Method of Dependency Tree LinearizationYevgeniy Puzikov, Iryna Gurevych2018 · 19 citations

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