Скачать или смотреть Kaggle Winners Walkthroughs: Feedback Prize - ELL competition with Team AutoX & Rohit & Yevhenii

Learn about the winning approach by Team AutoX & Rohit & Yevhenii and the key techniques they used in Feedback Prize - English Language Learning competition.

This competition tasked participants with assessing the language proficiency of 8th-12th grade English Language Learners (ELLs) through a dataset of student essays. Participants addressed the technical limitations of existing automated feedback tools, which often fail to account for the unique linguistic nuances of non-native speakers. By leveraging natural language processing and educational data analytics, the challenge sought to develop proficiency models that provide more accurate, context-sensitive feedback and alleviate the grading burden for educators.

👉 Competition: hhttps://www.kaggle.com/competitions/f...
🏆 Leaderboard: https://www.kaggle.com/competitions/f...

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