@inproceedings{qader-etal-2020-seq2seqpy,
title = "{S}eq2{S}eq{P}y: A Lightweight and Customizable Toolkit for Neural Sequence-to-Sequence Modeling",
author = "Qader, Raheel and
Portet, Fran{\c{c}}ois and
Labbe, Cyril",
booktitle = "Proceedings of the 12th Language Resources and Evaluation Conference",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.lrec-1.882",
pages = "7140--7144",
abstract = "We present Seq2SeqPy a lightweight toolkit for sequence-to-sequence modeling that prioritizes simplicity and ability to customize the standard architectures easily. The toolkit supports several known architectures such as Recurrent Neural Networks, Pointer Generator Networks, and transformer model. We evaluate the toolkit on two datasets and we show that the toolkit performs similarly or even better than a very widely used sequence-to-sequence toolkit.",
language = "English",
ISBN = "979-10-95546-34-4",
}
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%0 Conference Proceedings
%T Seq2SeqPy: A Lightweight and Customizable Toolkit for Neural Sequence-to-Sequence Modeling
%A Qader, Raheel
%A Portet, François
%A Labbe, Cyril
%S Proceedings of the 12th Language Resources and Evaluation Conference
%D 2020
%8 may
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-34-4
%G English
%F qader-etal-2020-seq2seqpy
%X We present Seq2SeqPy a lightweight toolkit for sequence-to-sequence modeling that prioritizes simplicity and ability to customize the standard architectures easily. The toolkit supports several known architectures such as Recurrent Neural Networks, Pointer Generator Networks, and transformer model. We evaluate the toolkit on two datasets and we show that the toolkit performs similarly or even better than a very widely used sequence-to-sequence toolkit.
%U https://aclanthology.org/2020.lrec-1.882
%P 7140-7144
Markdown (Informal)
[Seq2SeqPy: A Lightweight and Customizable Toolkit for Neural Sequence-to-Sequence Modeling](https://aclanthology.org/2020.lrec-1.882) (Qader et al., LREC 2020)
ACL