Authors: Yaoming Zhu , Sidi Lu , Lei Zheng , Jiaxian Guo , Weinan Zhang , Jun Wang , Yong Yu - ACM SIGIR Conference on Research and Development in Information Retrieval 2018 cited by 398
We introduce Texygen, a benchmarking platform to support research on open-domain text generation models. Texygen has not only implemented a majority of text generation models, but also covered a set of metrics that evaluate the diversity, the quality and the consistency of the generated texts. The Texygen platform could help standardize the research on text generation and facilitate the sharing of fine-tuned open-source implementations among researchers for their work. As a consequence, this would help in improving the reproductivity and reliability of future research work in text generation.
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