Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism

Show full item record



Permalink

http://hdl.handle.net/10138/331332

Citation

Rämö , M & Leppänen , L 2021 , Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism . in H Toivonen & M Boggia (eds) , Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation . The Association for Computational Linguistics , pp. 62–70 , EMBEDDIA Hackashop 2021 , 01/02/2021 . < https://www.aclweb.org/anthology/2021.hackashop-1.9/ >

Title: Using contextual and cross-lingual word embeddings to improve variety in template-based NLG for automated journalism
Author: Rämö, Miia; Leppänen, Leo
Editor: Toivonen, Hannu; Boggia, Michele
Contributor: University of Helsinki, Department of Computer Science
University of Helsinki, Department of Computer Science
Publisher: The Association for Computational Linguistics
Date: 2021-04
Language: eng
Belongs to series: Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation
ISBN: 978-1-954085-13-8
URI: http://hdl.handle.net/10138/331332
Subject: 113 Computer and information sciences
Rights:


Files in this item

Total number of downloads: Loading...

Files Size Format View
2021.hackashop_1.9.pdf 209.8Kb PDF View/Open

This item appears in the following Collection(s)

Show full item record