--- title: "Who cites Stack-propagation: Improved — 43 citing papers" description: "43 papers of the Elamur Research library cite «Stack-propagation: Improved Representation Learning for Syntax», found in their…" canonical: "https://research.elamur.ai/free/en/papers/zhang-2016-stack-propagation-improved-representation-learning/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zhang-2016-stack-propagation-improved-representation-learning/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Stack-propagation: Improved Representation…](https://md.research.elamur.ai/free/en/papers/zhang-2016-stack-propagation-improved-representation-learning/) / cited by # Who cites «Stack-propagation: Improved Representation Learning for Syntax» 43 papers of our library cite it (of the 149,439 whose bibliographies we read) · 12 with a page here, the most cited first · [← back to «Stack-propagation: Improved Representation Learning for Syntax»](https://md.research.elamur.ai/free/en/papers/zhang-2016-stack-propagation-improved-representation-learning/) 1. **[Findings of the 2017 Conference on Machine Translation (WMT17)](https://md.research.elamur.ai/free/en/papers/bojar-2017-findings-2017-conference-machine-translation/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Ondřej Bojar, Rajen Chatterjee, Christian Federmann, et al.*2017 · 691 citations* 2. **[ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing](https://md.research.elamur.ai/free/en/papers/neumann-2019-scispacy-fast-robust-models-biomedical/) [BioNLP Shared Task Workshop](https://md.research.elamur.ai/free/en/venues/bionlp-workshop-and-shared-task/)**Mark Neumann, Daniel King, Iz Beltagy, et al.*2019 · 680 citations* 3. **[A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks](https://md.research.elamur.ai/free/en/papers/hashimoto-2016-joint-many-task-model-growing/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, et al.*2016 · 674 citations* 4. **[Linguistically-Informed Self-Attention for Semantic Role Labeling](https://md.research.elamur.ai/free/en/papers/strubell-2018-linguistically-informed-self-attention-semantic/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Emma Strubell, Patrick Verga, Daniel Andor, et al.*2018 · 604 citations* 5. **[Semi-Supervised Sequence Modeling with Cross-View Training](https://md.research.elamur.ai/free/en/papers/clark-2018-semi-supervised-sequence-modeling-cross/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Kevin Clark, Minh-Thang Luong, Christopher D. Manning, et al.*2018 · 494 citations* 6. **[A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding](https://md.research.elamur.ai/free/en/papers/qin-2019-stack-propagation-framework-token-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Libo Qin, Wanxiang Che, Yangming Li, et al.*2019 · 385 citations* 7. **[Deep Multitask Learning for Semantic Dependency Parsing](https://md.research.elamur.ai/free/en/papers/peng-2017-deep-multitask-learning-semantic-dependency/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Peng, Sam Thomson, Noah A. Smith*2017 · 211 citations* 8. [**Universal Dependencies Parsing for Colloquial Singaporean English**Hongmin Wang, Yue Zhang, GuangYong Leonard Chan, et al.*2017 · 49 citations*](https://md.research.elamur.ai/free/en/papers/wang-2017-universal-dependencies-parsing-colloquial-singaporean/) 9. [**'IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks'**Anders Björkelund, Agnieszka Falenska, Xiang Yu, et al.*2017 · 39 citations*](https://md.research.elamur.ai/free/en/papers/bjorkelund-2017-ims-conll-2017-ud-shared/) 10. **[On the Frailty of Universal POS Tags for Neural UD Parsers](https://md.research.elamur.ai/free/en/papers/anderson-2020-frailty-universal-pos-tags-neural/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Mark Anderson, Carlos Gómez-Rodríguez*2020 · 20 citations* 11. **[Leveraging Pretrained Word Embeddings for Part-of-Speech Tagging of Code Switching Data](https://md.research.elamur.ai/free/en/papers/alghamdi-2019-leveraging-pretrained-word-embeddings-part/) [Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial)](https://md.research.elamur.ai/free/en/venues/vardial/)**Fahad AlGhamdi, Mona Diab*2019 · 11 citations* 12. [**Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era**Agnieszka Falenska, Anders Björkelund, Jonas Kuhn*2020 · 8 citations*](https://md.research.elamur.ai/free/en/papers/falenska-2020-integrating-graph-based-transition-based/) 31 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zhang-2016-stack-propagation-improved-representation-learning/) — Stack-propagation: Improved Representation Learning for Syntax