Att2Seq

KO | EN

gitlite — search

#python #go #rust #deep-learning #linux #docker #nodejs #awesome #kubernetes #pytorch #security #ios #mcp #open-source

(★ 10)

(PyTorch re-implementation) Learning to Generate Product Reviews from Attributes, EACL'17

Att2Seq 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Att2Seq (Attribute-to-sequence)
PyTorch re-implementation without rating input ([original implementation in Torch](https://goo.gl/iWzB8P))

## Paper
- Dong, Li, et al. [Learning to Generate Product Reviews from Attributes](https://aclanthology.org/E17-1059.pdf). EACL'17.

**A small ecosystem for Recommender Systems-based Natural Language Generation is available at [NLG4RS](https://github.com/lileipisces/NLG4RS)!**

## Datasets to [download](https://drive.google.com/drive/folders/1yB-EFuApAOJ0RzTI0VfZ0pignytguU0_?usp=sharing)
- TripAdvisor Hong Kong
- Amazon Movies & TV
- Yelp 2019

For those who are interested in how to obtain (feature, opinion, template, sentiment) quadruples, please refer to [Sentires-Guide](https://github.com/lileipisces/Sentires-Guide).

## Usage
Below is an example of how to run Att2Seq.
```
python -u main.py \
--data_path ../TripAdvisor/reviews.pickle \
--index_dir ../TripAdvisor/1/ \
--cuda \
--checkpoint ./tripadvisor/ >> tripadvisor.log
```

## Code dependencies
- Python 3.6
- PyTorch 1.6

## Friendly reminders
- If you want to equip the model with Byte Pair Encoding (BPE), please refer to [PEPLER](https://github.com/lileipisces/PEPLER).
- If you want to change back to the original settings as reported in the paper (which would deteriorate the performance), please comment out line 89 and uncomment out line 90, 91, 189, 191, 192 in [main.py](main.py).

## Citations
If you find this re-implementation useful, please consider citing our papers.
```
@article{TOIS23-PEPLER,
	title={Personalized Prompt Learning for Explainable Recommendation},
	author={Li, Lei and Zhang, Yongfeng and Chen, Li},
	journal={ACM Transactions on Information Systems (TOIS)},
	year={2023}
}
@inproceedings{ACL21-PETER,
	title={Personalized Transformer for Explainable Recommendation},
	author={Li, Lei and Zhang, Yongfeng and Chen, Li},
	booktitle={ACL},
	year={2021}
}
@inproceedings{CIKM20-NETE,
	title={Generate Neural Template Explanations for Recommendation},
	author={Li, Lei and Zhang, Yongfeng and Chen, Li},
	booktitle={CIKM},
	year={2020}
}
@inproceedings{WWW20-NETE,
	title={Towards Controllable Explanation Generation for Recommender Systems via Neural Template},
	author={Li, Lei and Chen, Li and Zhang, Yongfeng},
	booktitle={WWW Demo},
	year={2020}
}
```

Att2Seq

Att2Seq 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Att2Seq

Att2Seq 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README