InriaValda/roberta-base_definiendum

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

https://youtu.be/tUioJooDDio?si=6EnTN_5l-9t86IKk