Idea Unit Resources page

This website hosts the resources published by the Tokunaga Laboratory of Computational Linguistics for LREC 2022.

Resources

Paper: Automating Idea Unit Segmentation and Alignment for Assessing Reading Comprehension via Summary Protocol Analysis

Corpus: L2WS 2021

IU Segmentation algorithm: IUExtract

Annotation Tool: SAT - Segmentation and Alignment Tool