@inproceedings{hu-etal-2018-texar,
title = "{T}exar: A Modularized, Versatile, and Extensible Toolbox for Text Generation",
author = "Hu, Zhiting and
Yang, Zichao and
Zhao, Tiancheng and
Shi, Haoran and
He, Junxian and
Wang, Di and
Ma, Xuezhe and
Liu, Zhengzhong and
Liang, Xiaodan and
Qin, Lianhui and
Chaplot, Devendra Singh and
Tan, Bowen and
Yu, Xingjiang and
Xing, Eric",
editor = "Park, Eunjeong L. and
Hagiwara, Masato and
Milajevs, Dmitrijs and
Tan, Liling",
booktitle = "Proceedings of Workshop for {NLP} Open Source Software ({NLP}-{OSS})",
month = jul,
year = "2018",
address = "Melbourne, Australia",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-2503",
doi = "10.18653/v1/W18-2503",
pages = "13--22",
abstract = "We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks. Different from many existing toolkits that are specialized for specific applications (e.g., neural machine translation), Texar is designed to be highly flexible and versatile. This is achieved by abstracting the common patterns underlying the diverse tasks and methodologies, creating a library of highly reusable modules and functionalities, and enabling arbitrary model architectures and various algorithmic paradigms. The features make Texar particularly suitable for technique sharing and generalization across different text generation applications. The toolkit emphasizes heavily on extensibility and modularized system design, so that components can be freely plugged in or swapped out. We conduct extensive experiments and case studies to demonstrate the use and advantage of the toolkit.",
}
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%0 Conference Proceedings
%T Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation
%A Hu, Zhiting
%A Yang, Zichao
%A Zhao, Tiancheng
%A Shi, Haoran
%A He, Junxian
%A Wang, Di
%A Ma, Xuezhe
%A Liu, Zhengzhong
%A Liang, Xiaodan
%A Qin, Lianhui
%A Chaplot, Devendra Singh
%A Tan, Bowen
%A Yu, Xingjiang
%A Xing, Eric
%Y Park, Eunjeong L.
%Y Hagiwara, Masato
%Y Milajevs, Dmitrijs
%Y Tan, Liling
%S Proceedings of Workshop for NLP Open Source Software (NLP-OSS)
%D 2018
%8 July
%I Association for Computational Linguistics
%C Melbourne, Australia
%F hu-etal-2018-texar
%X We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks. Different from many existing toolkits that are specialized for specific applications (e.g., neural machine translation), Texar is designed to be highly flexible and versatile. This is achieved by abstracting the common patterns underlying the diverse tasks and methodologies, creating a library of highly reusable modules and functionalities, and enabling arbitrary model architectures and various algorithmic paradigms. The features make Texar particularly suitable for technique sharing and generalization across different text generation applications. The toolkit emphasizes heavily on extensibility and modularized system design, so that components can be freely plugged in or swapped out. We conduct extensive experiments and case studies to demonstrate the use and advantage of the toolkit.
%R 10.18653/v1/W18-2503
%U https://aclanthology.org/W18-2503
%U https://doi.org/10.18653/v1/W18-2503
%P 13-22
Markdown (Informal)
[Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation](https://aclanthology.org/W18-2503) (Hu et al., NLPOSS 2018)
ACL
- Zhiting Hu, Zichao Yang, Tiancheng Zhao, Haoran Shi, Junxian He, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Lianhui Qin, Devendra Singh Chaplot, Bowen Tan, Xingjiang Yu, and Eric Xing. 2018. Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation. In Proceedings of Workshop for NLP Open Source Software (NLP-OSS), pages 13–22, Melbourne, Australia. Association for Computational Linguistics.