Stanford MLab at SemEval-2021 Task 8: 48 Hours Is All You Need

Patrick Liu, Niveditha Iyer, Erik Rozi, Ethan A. Chi


Abstract
This paper presents our system for the Quantity span identification, Unit of measurement identification and Value modifier classification subtasks of the MeasEval 2021 task. The purpose of the Quantity span identification task was to locate spans of text that contain a count or measurement, consisting of a value, usually followed by a unit and occasionally additional modifiers. The goal of the modifier classification task was to determine whether an associated text fragment served to indicate range, tolerance, mean value, etc. of a quantity. The developed systems used pre-trained BERT models which were fine-tuned for the task at hand. We present our system, investigate how architectural decisions affected model predictions, and conduct an error analysis. Overall, our system placed 12 / 19 in the shared task and in the 2nd place for the Unit subcategory.
Anthology ID:
2021.semeval-1.177
Volume:
Proceedings of the 15th International Workshop on Semantic Evaluation (SemEval-2021)
Month:
August
Year:
2021
Address:
Online
Venues:
ACL | IJCNLP | SemEval
SIG:
SIGLEX
Publisher:
Association for Computational Linguistics
Note:
Pages:
1245–1248
Language:
URL:
https://aclanthology.org/2021.semeval-1.177
DOI:
10.18653/v1/2021.semeval-1.177
Bibkey:
Copy Citation:
PDF:
https://aclanthology.org/2021.semeval-1.177.pdf