2018 TexarAModularizedVersatileandEx
- (Hu et al., 2018) ⇒ Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Hector Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, and Eric P. Xing. (2018). “Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.” In: arXiv preprint arXiv:1809.00794.
Subject Headings: Texar.
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Abstract
We introduce Texar, an open-source toolkit aiming to support the broad set of text generation tasks that transforms any inputs into natural language, such as machine translation, summarization, dialog, content manipulation, and so forth. With the design goals of modularity, versatility, and extensibility in mind, Texar extracts common patterns underlying the diverse tasks and methodologies, creates a library of highly reusable modules and functionalities, and allows arbitrary model architectures and algorithmic paradigms. In Texar, model architecture, losses, and learning processes are fully decomposed. Modules at high concept level can be freely assembled or plugged in / swapped out. These features make Texar particularly suitable for researchers and practitioners to do fast prototyping and experimentation, as well as foster technique sharing across different text generation tasks. We provide case studies to demonstrate the use and advantage of the toolkit. Texar is released under Apache license 2.0 at this https URL
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2018 TexarAModularizedVersatileandEx | Eric P. Xing Zhiting Hu Zichao Yang Xuezhe Ma Haoran Shi Bowen Tan Tiancheng Zhao Junxian He Wentao Wang Xingjiang Yu Lianhui Qin Di Wang Hector Liu Xiaodan Liang Wanrong Zhu Devendra Singh Sachan | Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation |