Data Augmentation for Morphological Reinflection. - Miikka Silfverberg; Adam Wiemerslage; Ling Liu; Lingshuang Jack Mao (CoNLL Shared Task (1), 2017)

Morphological Reinflection in Context: CU Boulder's Submission to CoNLL-SIGMORPHON 2018 Shared Task. - Ling Liu; Ilamvazhuthy Subbiah; Adam Wiemerslage; Jonathan Lilley; Sarah R. Moeller (CoNLL Shared Task (1), 2018)

Multiple Instance Learning for Content Feedback Localization without Annotation. - Scott Hellman; William Murray; Adam Wiemerslage; Mark Rosenstein; Peter W. Foltz; Lee Becker; Marcia Derr (BEA@ACL, 2020)

Findings of the Second AmericasNLP Competition on Speech-to-Text Translation. - Abteen Ebrahimi; Manuel Mager; Adam Wiemerslage; Pavel Denisov; Arturo Oncevay; Danni Liu; Sai Koneru; Enes Yavuz Ugan; Zhaolin Li; Jan Niehues; Monica Romero; Iván G. Torre; et al. (NeurIPS (Competition and Demos), 2021)

Morphological Processing of Low-Resource Languages: Where We Are and What's Next. - Adam Wiemerslage; Miikka Silfverberg; Changbing Yang; Arya McCarthy; Garrett Nicolai; Eliana Colunga; Katharina Kann (ACL (Findings), 2022)

A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection. - Adam Wiemerslage; Shiran Dudy; Katharina Kann (EMNLP, 2022)

An Investigation of Noise in Morphological Inflection. - Adam Wiemerslage; Changbing Yang; Garrett Nicolai; Miikka Silfverberg; Katharina Kann (ACL (Findings), 2023)

Quantifying the Hyperparameter Sensitivity of Neural Networks for Character-level Sequence-to-Sequence Tasks. - Adam Wiemerslage; Kyle Gorman; Katharina von der Wense (EACL (1), 2024)

Getting The Most Out of Your Training Data: Exploring Unsupervised Tasks for Morphological Inflection. - Abhishek Purushothama; Adam Wiemerslage; Katharina von der Wense (EMNLP, 2024)

Improving Low-Resource Morphological Inflection via Self-Supervised Objectives. - Adam Wiemerslage; Katharina von der Wense (ACL (1), 2025)