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Who cites «Becoming Linguistically Mature: Modeling English and German Children's Writing Development Across School Grades»

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

  1. IndoCL: Benchmarking Indonesian Language Development Assessment — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  2. LangLearn at EVALITA 2023: Overview of the Language Learning Development Task — 2023 · Proceedings of the Eighth Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023)
  3. Preserving the Authenticity of Handwritten Learner Language: Annotation Guidelines for Creating Transcripts Retaining Orthographic Features — 2023 · Proceedings of the Workshop on Computation and Written Language (CAWL 2023)
  4. (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification — 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)
  5. Measuring the Impact of (Psycho-)Linguistic and Readability Features and Their Spill Over Effects on the Prediction of Eye Movement Patterns — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  6. Pushing on Personality Detection from Verbal Behavior: A Transformer Meets Text Contours of Psycholinguistic Features — 2022 · Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis
  7. SPADE: A Big Five-Mturk Dataset of Argumentative Speech Enriched with Socio-Demographics for Personality Detection — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
  8. Automated Classification of Written Proficiency Levels on the CEFR-Scale through Complexity Contours and RNNs — 2021 · Proceedings of the 16th Workshop on Innovative Use of NLP for Building Educational Applications
  9. FANG-COVID: A New Large-Scale Benchmark Dataset for Fake News Detection in German — 2021 · Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER)
  10. Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task — 2021 · Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
  11. A Language-Based Approach to Fake News Detection Through Interpretable Features and BRNN — 2020 · Proceedings of the 3rd International Workshop on Rumours and Deception in Social Media (RDSM)