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Who cites «'IMS at the CoNLL 2017 UD Shared Task: CRFs and Perceptrons Meet Neural Networks'»

14 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. ← the card

  1. How to Parse a Creole: When Martinican Creole Meets French — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  2. Integrating Graph-Based and Transition-Based Dependency Parsers in the Deep Contextualized Era — our card · 2020 · Proceedings of the 16th International Conference on Parsing Technologies and the IWPT 2020 Shared Task on Parsing into Enhanced Universal Dependencies
  3. IMSurReal: IMS at the Surface Realization Shared Task 2019 — 2019 · Proceedings of the 2nd Workshop on Multilingual Surface Realisation (MSR 2019)
  4. Analyse syntaxique de langues faiblement dotées à partir de plongements de mots multilingues [Syntactic analysis of under-resourced languages from multilingual word embeddings] — 2018
  5. German Radio Interviews: The GRAIN Release of the SFB732 Silver Standard Collection — 2018 · Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
  6. Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  7. Parser Training with Heterogeneous Treebanks — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
  8. Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation — 2018 · Proceedings of the CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  9. Valency-Augmented Dependency Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  10. What do character-level models learn about morphology? The case of dependency parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  11. CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies — our card · 2017 · Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
  12. kemos-2019-neural-semi-markov-conditional-random
  13. matthews-2019-comparing-top-down-bottom-up
  14. vania-2018-explicitly-modeling-case-improves-neural

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