Enhancing Automatic Readability Assessment with Verb Frame Features
Author:
Affiliation:
1. City University of Hong Kong,Department of Linguistics and Translation,Hong Kong,SAR,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9961216/9961238/09961289.pdf?arnumber=9961289
Reference24 articles.
1. Leveling L2 Texts Through Readability: Combining Multilevel Linguistic Features with the CEFR
2. OneStopEnglish corpus: A new corpus for automatic readability assessment and text simplification
3. Automatic text difficulty esti-mation using embeddings and neural networks;filighera;European conference on technology enhanced learning,2019
4. Using Verb Frames for Text Difficulty Assessment;lee;Proc International FrameNet Workshop 2020 Towards a Global Multilingual FrameNet,2020
5. The construction of mandarin verbnet: A frame-based study of statement verbs;liu;Language and Linguistics,2008
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1. Unsupervised Readability Assessment via Learning from Weak Readability Signals;Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval;2023-07-18
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