no code implementations • ACL (SIGMORPHON) 2021 • Adam Wiemerslage, Arya D. McCarthy, Alexander Erdmann, Garrett Nicolai, Manex Agirrezabal, Miikka Silfverberg, Mans Hulden, Katharina Kann
We describe the second SIGMORPHON shared task on unsupervised morphology: the goal of the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering is to cluster word types from a raw text corpus into paradigms.
no code implementations • ACL (SIGMORPHON) 2021 • Andrew Gerlach, Adam Wiemerslage, Katharina Kann
This paper describes our system for the SIGMORPHON 2021 Shared Task on Unsupervised Morphological Paradigm Clustering, which asks participants to group inflected forms together according their underlying lemma without the aid of annotated training data.
no code implementations • Findings (ACL) 2022 • Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya McCarthy, Garrett Nicolai, Eliana Colunga, Katharina Kann
Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages.
1 code implementation • 26 May 2023 • Adam Wiemerslage, Changbing Yang, Garrett Nicolai, Miikka Silfverberg, Katharina Kann
We aim at closing this gap by investigating the types of noise encountered within a pipeline for truly unsupervised morphological paradigm completion and its impact on morphological inflection systems: First, we propose an error taxonomy and annotation pipeline for inflection training data.
no code implementations • 22 Oct 2022 • Adam Wiemerslage, Shiran Dudy, Katharina Kann
Neural networks have long been at the center of a debate around the cognitive mechanism by which humans process inflectional morphology.
no code implementations • 16 Mar 2022 • Adam Wiemerslage, Miikka Silfverberg, Changbing Yang, Arya D. McCarthy, Garrett Nicolai, Eliana Colunga, Katharina Kann
Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for endangered languages.
no code implementations • WS 2020 • Scott Hellman, William Murray, Adam Wiemerslage, Mark Rosenstein, Peter Foltz, Lee Becker, Marcia Derr
In contrast, we are interested in providing feedback specialized to the content of the essay, and specifically for the content areas required by the rubric.
no code implementations • 11 Mar 2020 • Adam Wiemerslage, Shafiuddin Rehan Ahmed
In this paper, we propose a pipeline to convert grade school level algebraic word problem into program of a formal languageA-IMP.
no code implementations • WS 2018 • Adam Wiemerslage, Miikka Silfverberg, Mans Hulden
Modeling morphological inflection is an important task in Natural Language Processing.