---
title: "Who cites Universal Morpho-Syntactic Parsing and the…"
description: "4 papers of the Elamur Research library cite «Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the…"
canonical: "https://research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Universal Morpho-Syntactic Parsing and the…](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/) / cited by

# 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 (of the 140,884 whose bibliographies we read) · 2 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/)

1. [**CamemBERT: a Tasty French Language Model**Louis Martin, Benjamin Muller, Pedro Javier Ortiz Suárez, et al.*2019 · 1,262 citations*](https://md.research.elamur.ai/free/en/papers/martin-2019-camembert-tasty-french-language-model/)
2. [**Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew**Eylon Gueta, Omer Goldman, Reut Tsarfaty*2023 · 7 citations*](https://md.research.elamur.ai/free/en/papers/gueta-2023-explicit-morphological-knowledge-improves-pre/)

2 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/seker-2018-universal-morpho-syntactic-parsing-contribution/) — Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task
