How to use
You can use this model directly with a pipeline for token classification. Given a mathematical definition from the text of an academic article, the model shall identify the term(s) defined with it.
from transformers import pipeline
# Here, we use the prediction of the first word piece of every word.
pipe = pipeline(model="InriaValda/roberta-base_definiendum",
aggregation_strategy="first")
pipe("A Young graph Y such that Y≃ Y(10, 9) is called a 1089 graph.")
Our Paper
Extracting Definienda in Mathematical Scholarly Articles with Transformers (Accepted by 2nd WIESP @ IJCNLP-AACL 2023)
An 8 minutes' video about our work
- Downloads last month
- 3
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.