Who cites «Universal Morpho-Syntactic Parsing and the Contribution of Lexica: Analyzing the ONLP Lab Submission to the CoNLL 2018 Shared Task»
- Explicit Morphological Knowledge Improves Pre-training of Language Models for Hebrew — our card · 2023 · arXiv:2311.00658
- A Graph-Based Framework for Structured Prediction Tasks in Sanskrit — 2020 · Computational Linguistics
- CamemBERT: a Tasty French Language Model — 2019 · arXiv:1911.03894 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, July 2020, Online
- fabre-2020-french-contextualized-word-embeddings-sip
This page in Markdown → https://md.mova.elamur.ai/free/en/docs/papers/cited-by/ud-2018-seker-universal-morpho-syntactic-parsing-contribution/