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New ICLE++ corpus advances automated essay scoring research

By PulseAugur Editorial · [1 sources] ·

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]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New ICLE++ corpus advances automated essay scoring research

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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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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Shengjie Li, Vincent Ng ·

    ICLE++: Modeling Fine-Grained Traits for Holistic Essay Scoring

    arXiv:2607.27671v1 Announce Type: new Abstract: The majority of the recently-developed models for automated essay scoring (AES) are evaluated solely on the ASAP corpus. However, ASAP is not without its limitations. For instance, it is not clear whether models trained on ASAP can …

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