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# Who cites «Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task»

4 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-2018-seker-universal-morpho-syntactic-parsing-contribution/)

1. [Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew](https://md.mova.elamur.ai/free/en/docs/papers/langstream-2023-gueta-explicit-morphological-knowledge-improves-pre/) *— our card · 2023 · arXiv:2311.00658*
2. [A Graph-Based Framework for Structured Prediction Tasks in Sanskrit](https://aclanthology.org/2020.cl-4.4/) *— 2020 · Computational Linguistics*
3. [CamemBERT: a Tasty French Language Model](https://arxiv.org/abs/1911.03894) *— 2019 · arXiv:1911.03894 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, July 2020, Online*
4. fabre-2020-french-contextualized-word-embeddings-sip
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