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Who cites «The Galactic Dependencies Treebanks: Getting More Data by Synthesizing New Languages»

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

  1. Can Language Models Learn Typologically Implausible Languages? — 2026 · Transactions of the Association for Computational Linguistics
  2. Emergent Word Order Universals from Cognitively-Motivated Language Models — 2024 · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  3. Exploring the Robustness of Task-oriented Dialogue Systems for Colloquial German Varieties — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
  4. NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communication — 2024 · Proceedings of the 28th Conference on Computational Natural Language Learning
  5. Improving Cross-lingual Transfer through Subtree-aware Word Reordering — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  6. Multilingual End-to-end Dependency Parsing with Linguistic Typology knowledge — 2023 · Proceedings of the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP
  7. Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
  8. Transparency at the Source: Evaluating and Interpreting Language Models With Access to the True Distribution — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  9. Zoology: Measuring and Improving Recall in Efficient Language Models — 2023 · arXiv:2312.04927
  10. Towards More Natural Artificial Languages — 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)
  11. When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
  12. Examining the Inductive Bias of Neural Language Models with Artificial Languages — 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)
  13. How Suitable Are Subword Segmentation Strategies for Translating Non-Concatenative Morphology? — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
  14. Improving the Performance of UDify with Linguistic Typology Knowledge — 2021 · Proceedings of the Third Workshop on Computational Typology and Multilingual NLP
  15. Inducing Language-Agnostic Multilingual Representations — 2021 · Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics
  16. MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER — 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)
  17. On the Difficulty of Translating Free-Order Case-Marking Languages — 2021 · Transactions of the Association for Computational Linguistics
  18. Word Reordering for Zero-shot Cross-lingual Structured Prediction — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  19. Cross-Lingual Dependency Parsing by POS-Guided Word Reordering — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  20. DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  21. Learning Music Helps You Read: Using Transfer to Study Linguistic Structure in Language Models — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
  22. Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers — 2020 · Proceedings of the 28th International Conference on Computational Linguistics
  23. Bootstrapping UD treebanks for Delexicalized Parsing — 2019 · Proceedings of the 22nd Nordic Conference on Computational Linguistics
  24. Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  25. How to Parse Low-Resource Languages: Cross-Lingual Parsing, Target Language Annotation, or Both? — 2019 · Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)
  26. Low-Resource Parsing with Crosslingual Contextualized Representations — 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)
  27. Low-Resource Syntactic Transfer with Unsupervised Source Reordering — 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
  28. Modeling Language Variation and Universals: A Survey on Typological Linguistics for Natural Language Processing — 2019 · Computational Linguistics
  29. Uncovering Probabilistic Implications in Typological Knowledge Bases — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
  30. Isomorphic Transfer of Syntactic Structures in Cross-Lingual NLP — 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  31. Surface Statistics of an Unknown Language Indicate How to Parse It — 2018 · Transactions of the Association for Computational Linguistics
  32. Synthetic Data Made to Order: The Case of Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
  33. Fine-Grained Prediction of Syntactic Typology: Discovering Latent Structure with Supervised Learning — 2017 · Transactions of the Association for Computational Linguistics
  34. Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling — 2017 · Proceedings of the 15th International Conference on Parsing Technologies
  35. das-2019-little-perturbation-makes-difference-treebank
  36. doitch-2019-perturbation-based-learning-structured-nlp
  37. fisch-2019-working-hard-or-hardly-working
  38. lasri-2022-word-order-matters-when-you
  39. li-2019-generative-model-punctuation-dependency-trees
  40. ravishankar-2021-impact-positional-encodings-multilingual-compression

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