Automatically extracting the semantic network out of public services to support cities becoming Smart Cities

Joachim Van den Bogaert, Laurens Meeus, Alina Kramchaninova, Arne Defauw, Sara Szoc, Frederic Everaert, Koen Van Winckel, Anna Bardadym, Tom Vanallemeersch


Abstract
The CEFAT4Cities project aims at creating a multilingual semantic interoperability layer for Smart Cities that allows users from all EU member States to interact with public services in their own language. The CEFAT4Cities processing pipeline transforms natural-language administrative procedures into machine-readable data using various multilingual Natural Language Processing techniques, such as semantic networks and machine translation, thus allowing for the development of more sophisticated and more user-friendly public services applications.
Anthology ID:
2022.eamt-1.61
Volume:
Proceedings of the 23rd Annual Conference of the European Association for Machine Translation
Month:
June
Year:
2022
Address:
Ghent, Belgium
Venue:
EAMT
SIG:
Publisher:
European Association for Machine Translation
Note:
Pages:
343–344
Language:
URL:
https://aclanthology.org/2022.eamt-1.61
DOI:
Bibkey:
Cite (ACL):
Joachim Van den Bogaert, Laurens Meeus, Alina Kramchaninova, Arne Defauw, Sara Szoc, Frederic Everaert, Koen Van Winckel, Anna Bardadym, and Tom Vanallemeersch. 2022. Automatically extracting the semantic network out of public services to support cities becoming Smart Cities. In Proceedings of the 23rd Annual Conference of the European Association for Machine Translation, pages 343–344, Ghent, Belgium. European Association for Machine Translation.
Cite (Informal):
Automatically extracting the semantic network out of public services to support cities becoming Smart Cities (den Bogaert et al., EAMT 2022)
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PDF:
https://aclanthology.org/2022.eamt-1.61.pdf