Intent Detection with WikiHow

This repository contains pointers to data and models accompanying the paper "Intent Detection with WikiHow" by Li Zhang, Lyu Qing and Chris Callison-Burch.

The data can be found here. The provided iPython Notebook demonstrates how to load and use our pretrained models. It is recommended that you run the notebook using Google Colab to avoid dependency issues.

All our models are implemented using HuggingFace Transformers and are hosted on its model hub. You can find the models here. To find hyperparameters, open the link, click on the model name, click on "List all files in model", and then load training_args.bin using PyTorch. To use our pretrained models, simply install the library (and its dependencies) and import our models. The model namings are as follows:

Model name	Dataset trained on	Model
intent_enwh_rl	wikiHow-English	RoBERTa-large
intent_enwh_xlmr	wikiHow-English	XLM-RoBERTa-base
intent_eswh	wikiHow-Spanish	XLM-RoBERTa-base
intent_thwh	wikiHow-Thai	XLM-RoBERTa-base
intent_snips_wh_id	wikiHow-English + Snips	RoBERTa-large
intent_snips_id	Snips	RoBERTa-large
intent_sgd_wh_id	wikiHow-English + SGD	RoBERTa-large
intent_sgd_id	SGD	RoBERTa-large
intent_fb-en_wh_id_rl	wikiHow-English + Facebook-English	RoBERTa-large
intent_fb-en_id_rl	Facebook-English	RoBERTa-large
intent_fb-es_wh_id	wikiHow-Spanish + Facebook-Spanish	XLM-RoBERTa-base
intent_fb-es_enwh_id	wikiHow-English + Facebook-Spanish	XLM-RoBERTa-base
intent_fb-es_id	Facebook-Spanish	XLM-RoBERTa-base
intent_fb-th_wh_id	wikiHow-Thai + Facebook-Thai	XLM-RoBERTa-base
intent_fb-th_enwh_id	wikiHow-English + Facebook-Thai	XLM-RoBERTa-base
intent_fb-th_id	Facebook-Thai	XLM-RoBERTa-base

If you use our resources, please cite the following paper:

@misc{zhang2020intent,
    title={Intent Detection with WikiHow},
    author={Li Zhang and Qing Lyu and Chris Callison-Burch},
    year={2020},
    eprint={2009.05781},
    archivePrefix={arXiv},
    primaryClass={cs.CL}
}