Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems-Reference-Cited by-同舟云学术

Evaluation Toolkit For Robustness Testing Of Automatic Essay Scoring Systems

Published:2022-01-08 Issue: Volume: Page:
ISSN:
Container-title:5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)
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Author:

Kabra Anubha¹,Bhatia Mehar²,Singla Yaman Kumar³,Jessy Li Junyi⁴,Ratn Shah Rajiv⁵

Affiliation:

1. Adobe, IN

2. IIIT-Delhi, IN

3. Adobe Media Data Science Research, India and IIIT-Delhi; State University of New York at Buffalo, USA

4. University of Texas at Austin, United States of America, US

5. IIIT Delhi, IN

Funder

Center for Design and New Media, Indraprastha Institute of Information Technology

Infosys Centre for Artificial Intelligence, Indraprastha institute of Information Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3493700.3493765

Reference60 articles.

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2. Yigal Attali and Jill Burstein . 2004. Automated essay scoring with e-rater® v. 2.0. ETS Research Report Series 2004, 2 ( 2004 ), i–21. Yigal Attali and Jill Burstein. 2004. Automated essay scoring with e-rater® v. 2.0. ETS Research Report Series 2004, 2 (2004), i–21.

3. Modeling Local Coherence: An Entity-Based Approach

4. Isaac I Bejar Robert J Mislevy and Mo Zhang. 2017. Automated scoring with validity in mind. The wiley handbook of cognition and assessment: Frameworks Methodologies and applications(2017) 226–246. Isaac I Bejar Robert J Mislevy and Mo Zhang. 2017. Automated scoring with validity in mind. The wiley handbook of cognition and assessment: Frameworks Methodologies and applications(2017) 226–246.

5. J Bryant , C Heitz , S Sanghvi , and D Wagle . 2020. How artificial intelligence will impact K-12 teachers. Retrieved May 12(2020) , 2020 . J Bryant, C Heitz, S Sanghvi, and D Wagle. 2020. How artificial intelligence will impact K-12 teachers. Retrieved May 12(2020), 2020.

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