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Cited by 622

The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.

AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0

Open access
Attali, Yigal, Burstein, Jill·2004·ETS Research Report Series
DOI 10.1002/j.2333-8504.2004.tb01972.x
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Abstract

The e‐rater® system has been used by ETS for automated essay scoring since 1999. This paper describes a new version of e‐rater (v.2.0) that differs from the previous one (v.1.3) with regard to the feature set and model building approach. The paper describes the new version, compares the new and previous versions in terms of performance, and presents evidence on the validity and reliability of scores produced by the new version.

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Crossref · 10.1002/j.2333-8504.2004.tb01972.x

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Metadata

Authors
Attali, Y., & Burstein, J.
Venue
ETS Research Report Series
Publisher
Wiley
Published
2004-12
Volume
2004
Issue
2
ISSN
2330-8516 (ISSN-L)
DOI
10.1002/j.2333-8504.2004.tb01972.x
OpenAlex
W2158240052
Cited by
622
References
23
FWCI
21.36
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0. https://app.cochat.ai/papers/10.1002/j.2333-8504.2004.tb01972.x
The paper
Attali, Y., & Burstein, J. (2004). AUTOMATED ESSAY SCORING WITH E‐RATER® V.2.0. ETS Research Report Series. https://doi.org/10.1002/j.2333-8504.2004.tb01972.x

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.