| The associative structure of language: Contextual diversity in early word learning TT Hills, J Maouene, B Riordan, LB Smith Journal of memory and language 63 (3), 259-273, 2010 | 279 | 2010 |
| Redundancy in perceptual and linguistic experience: Comparing feature‐based and distributional models of semantic representation B Riordan, MN Jones Topics in Cognitive Science 3 (2), 303-345, 2011 | 211 | 2011 |
| Investigating neural architectures for short answer scoring B Riordan, A Horbach, A Cahill, T Zesch, C Lee Proceedings of the 12th workshop on innovative use of NLP for building …, 2017 | 159 | 2017 |
| A semantic role-based approach to open-domain automatic question generation M Flor, B Riordan Proceedings of the thirteenth workshop on innovative use of NLP for building …, 2018 | 52 | 2018 |
| Language policy for linguistic minority students in Japanese public schools and prospects for bilingualism: the Nikkei Brazilian case B Riordan IULC Working Papers 5 (1), 2005 | 30 | 2005 |
| Don’t take “nswvtnvakgxpm” for an answer–The surprising vulnerability of automatic content scoring systems to adversarial input Y Ding, B Riordan, A Horbach, A Cahill, T Zesch Proceedings of the 28th international conference on computational …, 2020 | 27 | 2020 |
| Comparing semantic space models using child-directed speech B Riordan Indiana University, 2007 | 23 | 2007 |
| Evaluating argumentative and narrative essays using graphs S Somasundaran, B Riordan, B Gyawali, SY Yoon Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 22 | 2016 |
| How to account for mispellings: Quantifying the benefit of character representations in neural content scoring models B Riordan, M Flor, R Pugh Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building …, 2019 | 20 | 2019 |
| An empirical investigation of neural methods for content scoring of science explanations B Riordan, S Bichler, A Bradford, JK Chen, K Wiley, L Gerard, MC Linn Proceedings of the fifteenth workshop on innovative use of NLP for building …, 2020 | 18 | 2020 |
| Atypical inputs in educational applications SY Yoon, A Cahill, A Loukina, K Zechner, B Riordan, N Madnani Proceedings of the 2018 Conference of the North American Chapter of the …, 2018 | 18 | 2018 |
| Expanding automated writing evaluation J Burstein, B Riordan, D McCaffrey Handbook of automated scoring, 329-346, 2020 | 15 | 2020 |
| Grammatical number processing and anticipatory eye movements are not tightly coordinated in English spoken language comprehension B Riordan, M Dye, MN Jones Frontiers in Psychology 6, 133044, 2015 | 15 | 2015 |
| Systems and methods for automatic generation of questions from text M Flor, BW Riordan US Patent 11,023,684, 2021 | 14 | 2021 |
| Using PRMSE to evaluate automated scoring systems in the presence of label noise A Loukina, N Madnani, A Cahill, L Yao, MS Johnson, B Riordan, ... Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building …, 2020 | 14 | 2020 |
| Inferring user intent with Bayesian inverse planning: making sense of multi-UAS mission management B Riordan, S Bruni, N Schurr, J Freeman, G Ganberg, NJ Cooke, N Rima Proceedings of the 20th Annual Conference on Behavior Representation in …, 2011 | 12 | 2011 |
| Exploring human error in an RPA target detection task L Swanson, E Jones, B Riordan, S Bruni, N Schurr, S Sullivan, J Lansey Proceedings of the Human Factors and Ergonomics Society Annual Meeting 56 (1 …, 2012 | 10 | 2012 |
| Context-based automated scoring of complex mathematical responses A Cahill, JH Fife, B Riordan, A Vajpayee, D Galochkin Proceedings of the Fifteenth Workshop on Innovative Use of NLP for Building …, 2020 | 8 | 2020 |
| Towards instance-based content scoring with pre-trained transformer models K Steimel, B Riordan Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence 34, 2020 | 8 | 2020 |
| Automatically scoring tests of proficiency in music instruction N Madnani, A Cahill, B Riordan Proceedings of the 11th Workshop on Innovative Use of NLP for Building …, 2016 | 7 | 2016 |
Aoife CahillDirector, AI Research at DataminrVerified email at dataminr.com
