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home / docs / papers / cited-by / Who cites «Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality»

Who cites «Different Flavors of GUM: Evaluating Genre and Sentence Type Effects on Multilayer Corpus Annotation Quality»

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

  1. Text2Story Lusa: A Dataset for Narrative Analysis in European Portuguese News Articles — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
  2. Are UD Treebanks Getting More Consistent? A Report Card for English UD — our card · 2023 · Proceedings of the Sixth Workshop on Universal Dependencies (UDW, GURT/SyntaxFest 2023)
  3. GENTLE: A Genre-Diverse Multilayer Challenge Set for English NLP and Linguistic Evaluation — our card · 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)
  4. A Second Wave of UD Hebrew Treebanking and Cross-Domain Parsing — our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
  5. GCDT: A Chinese RST Treebank for Multigenre and Multilingual Discourse Parsing — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
  6. Developing a multilayer semantic annotation scheme based on ISO standards for the visualization of a newswire corpus — 2021 · Proceedings of the 17th Joint ACL - ISO Workshop on Interoperable Semantic Annotation
  7. AMALGUM – A Free, Balanced, Multilayer English Web Corpus — our card · 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
  8. I've got a construction looks funny – representing and recovering non-standard constructions in UD — our card · 2020 · Proceedings of the Fourth Workshop on Universal Dependencies (UDW 2020)
  9. All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations — our card · 2018 · Proceedings of the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018)
  10. leal-2025-annotation-scheme-financial-news-portuguese

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