Miia Rämö, Leo Leppänen. Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism. In Hannu Toivonen, Michele Boggia, editors, Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, EACL 2021, Online, April 19, 2021. pages 62-70, Association for Computational Linguistics, 2021. [doi]
@inproceedings{RamoL21,
title = {Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism},
author = {Miia Rämö and Leo Leppänen},
year = {2021},
url = {https://www.aclweb.org/anthology/2021.hackashop-1.9/},
researchr = {https://researchr.org/publication/RamoL21},
cites = {0},
citedby = {0},
pages = {62-70},
booktitle = {Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation, EACL 2021, Online, April 19, 2021},
editor = {Hannu Toivonen and Michele Boggia},
publisher = {Association for Computational Linguistics},
isbn = {978-1-954085-13-8},
}