metadata
license: cc-by-4.0
language: en
base_model: roberta-base
pipeline_tag: text-classification
tags:
- literary-studies
- embodiment
- narrative
- digital-humanities
Embodiment Classifier (English narrative fiction)
Sentence-level classifier assigning one of 11 embodiment categories to sentences
from English-language prose fiction. Fine-tuned from roberta-base.
Labels: no_rel, character_move, haptic_material, character_feltness,
facial_expr, sight_human, book_paratext, haptic_human_animal,
sight_material, segmentation_error, gesture.
Usage
from transformers import pipeline
clf = pipeline("text-classification", model="katrohrb/embodiment-classifier")
clf("She reached out and touched the rough bark.")
# -> [{'label': 'haptic_material', ...}]
Performance
Held-out test set (n=580): micro-F1 0.805 [0.772, 0.835], macro-F1 0.797. 5-fold CV: 0.808 +/- 0.022. Human inter-annotator agreement ceiling: Cohen's kappa 0.760.
Data and code
Codebook, gold annotations, and reproduction notebooks: https://github.com/katrin-rohrbacher/embodiment-paper