[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-dozat-stanford-s-graph-based-neural-2/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task» · page 2

# Who cites «Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task» · page 2

125 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/ud-2017-dozat-stanford-s-graph-based-neural/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-dozat-stanford-s-graph-based-neural/) · **2**

1. arora-2022-token-level-sequence-labeling-spoken
2. boros-2026-racai-smm4h-heard-named-entity
3. celano-2025-state-art-morphosyntactic-parser-lemmatizer
4. dakota-2024-bits-pieces-investigating-effects-subwords
5. dehouck-2023-challenging-one-single-vector-per
6. do-2020-parsers-know-best-german-pp
7. fancellu-2021-depth-look-euclidean-disk-embeddings
8. kadar-2021-dependency-parsing-structure-preserving-embeddings
9. kayadelen-2020-gold-standard-dependency-treebank-turkish
10. kemos-2019-neural-semi-markov-conditional-random
11. khoe-2020-reproducing-morphosyntactic-tagger-meta-bilstm
12. kuila-2020-graph-convolution-network-based-system
13. lent-2021-common-sense-bias-semantic-role
14. li-2022-dyngl-sdp-dynamic-graph-learning
15. loukas-2025-gr-nlp-toolkit-open-source
16. matsuno-2018-reduction-parameter-redundancy-biaffine-classifiers
17. morio-2022-hitachi-semeval-2022-task-10
18. ortiz-2022-parsing-linearizations-appreciate-pos-tags
19. ortiz-2023-assessment-pre-trained-models-across
20. ozaki-2025-structure-modeling-approach-ud-parsing
21. shadikhodjaev-2019-cbnu-system-sigmorphon-2019-shared
22. thien-2020-applying-graph-neural-networks-vietnamese
23. toleu-2022-language-independent-approach-morphological-disambiguation
24. vania-2018-explicitly-modeling-case-improves-neural
25. zhang-2020-semi-supervised-autoencoding-projective-dependency

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-dozat-stanford-s-graph-based-neural/) · **2**

- [← previous Who cites «Stanford's Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-dozat-stanford-s-graph-based-neural/)
- [next → Who cites «Universal Joint Morph-Syntactic Processing: The Open University of Israel's Submission to The CoNLL 2017 Shared Task»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2017-more-universal-joint-morph-syntactic-processing/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)
