AraBERT-based Relation Classifier (Is Relation SADAF1)
This model predicts whether a pair of Arabic arguments is in a semantic relation or not. It is built on top of AraBERT v0.2 and enriched with additional handcrafted features.
base_model: aubmindlab/bert-base-arabertv02 pipeline_tag: text-classification library_name: transformers tags:
- arabic
- relation-classification
- argument-mining
- binary-classification datasets:
- Is Relation SADAF1 View here
model_details:
architecture:
- "[CLS] embedding of Arg1 [SEP] Arg2"
- "Contextual embedding of A_word"
- "One-hot features of Has_Almasdar (yes, no, null)"
- "Fusion layer + classification head"
input:
- "Argument pair (two sentences)"
- "Single word feature (A_word)"
- "Almasdar feature (categorical)"
output:
- "Relation (1)"
- "No Relation (0)"
Model tree for SADAF-IMAMU/2-is-relation
Base model
aubmindlab/bert-base-arabertv02