@inproceedings{johan-berggren-etal-2019-regression,
title = "Regression or classification? Automated Essay Scoring for {N}orwegian",
author = "Johan Berggren, Stig and
Rama, Taraka and
{\O}vrelid, Lilja",
editor = "Yannakoudakis, Helen and
Kochmar, Ekaterina and
Leacock, Claudia and
Madnani, Nitin and
Pil{\'a}n, Ildik{\'o} and
Zesch, Torsten",
booktitle = "Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications",
month = aug,
year = "2019",
address = "Florence, Italy",
publisher = "Association for Computational Linguistics",
url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/W19-4409/",
doi = "10.18653/v1/W19-4409",
pages = "92--102",
abstract = "In this paper we present first results for the task of Automated Essay Scoring for Norwegian learner language. We analyze a number of properties of this task experimentally and assess (i) the formulation of the task as either regression or classification, (ii) the use of various non-neural and neural machine learning architectures with various types of input representations, and (iii) applying multi-task learning for joint prediction of essay scoring and native language identification. We find that a GRU-based attention model trained in a single-task setting performs best at the AES task."
}
Markdown (Informal)
[Regression or classification? Automated Essay Scoring for Norwegian](https://preview.aclanthology.org/jlcl-multiple-ingestion/W19-4409/) (Johan Berggren et al., BEA 2019)
ACL