Automatically Scoring Tests of Proficiency in Music Instruction. - Nitin Madnani; Aoife Cahill; Brian Riordan 001 (BEA@NAACL-HLT, 2016)

Evaluating Argumentative and Narrative Essays using Graphs. - Swapna Somasundaran; Brian Riordan 001; Binod Gyawali; Su-Youn Yoon (COLING, 2016)

Investigating neural architectures for short answer scoring. - Brian Riordan 001; Andrea Horbach; Aoife Cahill; Torsten Zesch; Chong Min Lee (BEA@EMNLP, 2017)

A Semantic Role-based Approach to Open-Domain Automatic Question Generation. - Michael Flor; Brian Riordan 001 (BEA@NAACL-HLT, 2018)

Atypical Inputs in Educational Applications. - Su-Youn Yoon; Aoife Cahill; Anastassia Loukina; Klaus Zechner; Brian Riordan 001; Nitin Madnani (NAACL-HLT (3), 2018)

How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models. - Brian Riordan 001; Michael Flor; Robert Pugh (BEA@ACL, 2019)

Context-based Automated Scoring of Complex Mathematical Responses. - Aoife Cahill; James H. Fife; Brian Riordan 001; Avijit Vajpayee; Dmytro Galochkin (BEA@ACL, 2020)

Using PRMSE to evaluate automated scoring systems in the presence of label noise. - Anastassia Loukina; Nitin Madnani; Aoife Cahill; Lili Yao; Matthew S. Johnson; Brian Riordan 001; Daniel F. McCaffrey (BEA@ACL, 2020)

An empirical investigation of neural methods for content scoring of science explanations. - Brian Riordan 001; Sarah Bichler; Allison Bradford; Jennifer King Chen; Korah J. Wiley; Libby F. Gerard; Marcia C. Linn (BEA@ACL, 2020)

Don't take "nswvtnvakgxpm" for an answer -The surprising vulnerability of automatic content scoring systems to adversarial input. - Yuning Ding; Brian Riordan 001; Andrea Horbach; Aoife Cahill; Torsten Zesch (COLING, 2020)

Building Robust Content Scoring Models for Student Explanations of Social Justice Science Issues. - Allison Bradford; Kenneth Steimel; Brian Riordan 001; Marcia C. Linn (BEA, 2024)