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# Who cites «Coordinate Constructions in English Enhanced Universal Dependencies: Analysis and Computational Modeling»

7 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/grunewald-2021-coordinate-constructions-english-enhanced-universal/)

1. [Conjunct Lengths in English, Dependency Length Minimization, and Dependency Structure of Coordination](https://md.mova.elamur.ai/free/en/docs/papers/przepiorkowski-2023-conjunct-lengths-english-dependency-length/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
2. [Enhanced dependencies para o português brasileiro](https://aclanthology.org/2023.udfestbr-1.5/) *— 2023 · Proceedings of the 2nd Edition of the Universal Dependencies Brazilian Festival*
3. [MUX-PLMs: Pre-training Language Models with Data Multiplexing](https://aclanthology.org/2023.repl4nlp-1.17/) *— 2023 · Proceedings of the 8th Workshop on Representation Learning for NLP (RepL4NLP 2023)*
4. [A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German](https://aclanthology.org/2021.law-1.9/) *— 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop*
5. [TGIF: Tree-Graph Integrated-Format Parser for Enhanced UD with Two-Stage Generic- to Individual-Language Finetuning](https://aclanthology.org/2021.iwpt-1.23/) *— 2021 · Proceedings of the 17th International Conference on Parsing Technologies and the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies (IWPT 2021)*
6. [Transition-based Bubble Parsing: Improvements on Coordination Structure Prediction](https://md.mova.elamur.ai/free/en/docs/papers/shi-2021-transition-based-bubble-parsing-improvements/) *— our card · 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
7. murahari-2023-mux-plms-data-multiplexing-high
- [← previous Who cites «Applying Occam's Razor to Transformer-Based Dependency Parsing: What Works, What Doesn't, and What is Really Necessary»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/grunewald-2021-applying-occam-s-razor-transformer/)
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