On the Automatic Scoring of Handwritten Essays
Proceedings of the Twentieth International Joint Conference on Artificial Intelligence. Pages 2880-2883.
Abstract
Automating the task of scoring short handwritten student essays is considered. The goal is to assign scores which are comparable to those of human scorers by coupling two AI technologies: optical handwriting recognition and automated essay scoring. The test-bed is that of essays written by children in reading comprehension tests. The process involves several image-level operations: removal of pre-printed matter, segmentation of handwritten text lines and extraction of words. Recognition constraints are provided by the reading passage, the question and the answer rubric. Scoring is based on using a vector space model and machine learning of parameters from a set of human-scored samples. System performance is comparable to that of scoring based on perfect manual transcription.
@inproceedings{ijcai2007p463,
title = {On the Automatic Scoring of Handwritten Essays},
author = {Srihari, Sargur N. and Srihari, Rohini K. and Babu, Pavithra and Srinivasan, Harish},
booktitle = {Proceedings of the Twentieth International Joint Conference on
Artificial Intelligence, {IJCAI-07}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Ramon López de Mántaras},
pages = {2880--2883},
year = {2007},
url = {https://ijcai.org/proceedings/2007/463},
}
TY - CPAPER TI - On the Automatic Scoring of Handwritten Essays AU - Srihari, Sargur N. AU - Srihari, Rohini K. AU - Babu, Pavithra AU - Srinivasan, Harish T2 - Proceedings of the Twentieth International Joint Conference on Artificial Intelligence, IJCAI-07 PB - International Joint Conferences on Artificial Intelligence PY - 2007 SP - 2880 EP - 2883 UR - https://ijcai.org/proceedings/2007/463 ER -Copied
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