Zhu, Y;
Lu, S;
Zheng, L;
Guo, J;
Zhang, W;
Wang, J;
Yu, Y;
(2018)
Texygen: A Benchmarking Platform for Text Generation Models.
In:
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR '18).
(pp. pp. 1097-1100).
ACM: New York (NY), USA.
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Abstract
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 improve the reproductivity and reliability of future research work in text generation.
| Type: | Proceedings paper |
|---|---|
| Title: | Texygen: A Benchmarking Platform for Text Generation Models |
| Event: | The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval |
| Location: | Ann Arbor (MI), USA |
| Dates: | 8th-12th July 2018 |
| ISBN-13: | 978-1-4503-5657-2 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1145/3209978.3210080 |
| Publisher version: | https://dx.doi.org/10.1145/3209978.3210080 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Text Generation, Benchamarking, Evaluation Metrics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10066104 |
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