no code implementations • LREC (LAW) 2022 • Luke Gessler, Lauren Levine, Amir Zeldes
Large scale annotation of rich multilayer corpus data is expensive and time consuming, motivating approaches that integrate high quality automatic tools with active learning in order to prioritize human labeling of hard cases.
no code implementations • NAACL (SIGMORPHON) 2022 • Lauren Levine
This paper presents a basic character level sequence-to-sequence approach to morpheme segmentation for the following Romance languages: French, Italian, and Spanish.
no code implementations • LaTeCHCLfL (COLING) 2022 • Lauren Levine
Deontic modals are auxiliary verbs which express some kind of necessity, obligation, or moral recommendation.
1 code implementation • 3 Jun 2023 • Tatsuya Aoyama, Shabnam Behzad, Luke Gessler, Lauren Levine, Jessica Lin, Yang Janet Liu, Siyao Peng, YIlun Zhu, Amir Zeldes
We evaluate state-of-the-art NLP systems on GENTLE and find severe degradation for at least some genres in their performance on all tasks, which indicates GENTLE's utility as an evaluation dataset for NLP systems.