895 citations · 975 across the 23 of their papers we have counts for
40 papers
A Major Obstacle for NLP Research: Let's Talk about Time Allocation!
Katharina Kann, Shiran Dudy, Arya D. McCarthy
The field of natural language processing (NLP) has grown over the last few years: conferences have become larger, we have published an incredible amount of papers, and state-of-the…
A Comprehensive Comparison of Neural Networks as Cognitive Models of Inflection
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. This debate has gravitated into NLP by way…
Match the Script, Adapt if Multilingual: Analyzing the Effect of Multilingual Pretraining on Cross-lingual Transferability
Yoshinari Fujinuma, Jordan Boyd-Graber, Katharina Kann
Pretrained multilingual models enable zero-shot learning even for unseen languages, and that performance can be further improved via adaptation prior to finetuning. However, it is…
BPE vs. Morphological Segmentation: A Case Study on Machine Translation of Four Polysynthetic Languages
Manuel Mager, Arturo Oncevay, Elisabeth Mager +2
Morphologically-rich polysynthetic languages present a challenge for NLP systems due to data sparsity, and a common strategy to handle this issue is to apply subword segmentation.…
Morphological Processing of Low-Resource Languages: Where We Are and What's Next
Adam Wiemerslage, Miikka Silfverberg, Changbing Yang +4
Automatic morphological processing can aid downstream natural language processing applications, especially for low-resource languages, and assist language documentation efforts for…
The World of an Octopus: How Reporting Bias Influences a Language Model's Perception of Color
Cory Paik, Stéphane Aroca-Ouellette, Alessandro Roncone +1
Recent work has raised concerns about the inherent limitations of text-only pretraining. In this paper, we first demonstrate that reporting bias, the tendency of people to not stat…