Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence.

Yaoming Zhu|Juncheng Wan|Zhiming Zhou|Liheng Chen|Lin Qiu|Weinan Zhang|Xin Jiang|Yong Yu


Anthology ID:DBLP:conf/sigir/ZhuWZCQ0J019
Volume:Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019.
Year:2019
Venue:Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Publisher:ACM
Pages:455-464
URL:https://doi.org/10.1145/3331184.3331232
DOI:https://doi.org/10.1145/3331184.3331232
DBLP:conf/sigir/ZhuWZCQ0J019
BibTeX:
@inproceedings{zhu-2019-tripletotext, author = {Yaoming Zhu and Juncheng Wan and Zhiming Zhou and Liheng Chen and Lin Qiu and Weinan Zhang and Xin Jiang and Yong Yu}, editor = {Benjamin Piwowarski and Max Chevalier and \'{E}ric Gaussier and Yoelle Maarek and Jian-Yun Nie and Falk Scholer}, title = {{Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence}}, booktitle = {{Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019}}, pages = {455--464}, publisher = {ACM}, year = {2019}, url = {https://doi.org/10.1145/3331184.3331232}, doi = {https://doi.org/10.1145/3331184.3331232} }