NLPIR SEMINAR Y2019#28
In the new semester, our Lab, Web Search Mining and Security Lab, plans to hold an academic seminar every Monday, and each time a keynote speaker will share understanding of papers on his/her related research with you.
Tomorrow’s seminar is organized as follows:
- The seminar time is 1.pm, Mon (September 1, 2019), at Zhongguancun Technology Park ,Building 5, 1306.
- Changhe Li is going to give a presentation, the paper’s title is Data2Text Studio: Automated Text Generation from Structured Data.
- The seminar will be hosted by Qinghong Jiang.
Everyone interested in this topic is welcomed to join us.
The following is the abstract of the paper.
Data2Text Studio: Automated Text Generation from Structured Data
Longxu Dou, Guanghui Qin, Jinpeng Wang, Jin-Ge Yao, and Chin-Yew Lin
Data2Text Studio is a platform for automated text generation from structured data. It is equipped with a Semi-HMMs model to extract high-quality templates and corresponding trigger conditions from parallel data automatically, which improves the interactivity and interpretability of the generated text. In addition, several easy-to-use tools are provided for developers to edit templates of pre-trained models, and APIs are released for developers to call the pre-trained model to generate texts in third-party applications. We conduct experiments on ROTOWIRE datasets for template extraction and text generation. The results show that our model achieves improvements on both tasks.