New ICLE++ corpus advances automated essay scoring research

Researchers have introduced ICLE++, a new corpus of student essays designed to advance automated essay scoring (AES). This corpus includes both holistic scores and trait-specific annotations, aiming to address the limitations of existing datasets like ASAP. ICLE++ is intended to test the generalizability of AES models and facilitate research into multi-trait and cross-prompt scoring. AI

IMPACT Provides a new benchmark dataset to improve the evaluation and development of automated essay scoring models.

RANK_REASON The cluster describes a new academic paper introducing a dataset for research. [lever_c_demoted from research: ic=1 ai=1.0]

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