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
Correct Metadata for
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
- Editors:
- Helena Moniz, Lieve Macken, Andrew Rufener, Loïc Barrault, Marta R. Costa-jussà, Christophe Declercq, Maarit Koponen, Ellie Kemp, Spyridon Pilos, Mikel L. Forcada, Carolina Scarton, Joachim Van den Bogaert, Joke Daems, Arda Tezcan, Bram Vanroy, Margot Fonteyne
- 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)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.eamt-1.61.pdf
Export citation
@inproceedings{den-bogaert-etal-2022-automatically,
title = "Automatically extracting the semantic network out of public services to support cities becoming Smart Cities",
author = "den Bogaert, Joachim Van and
Meeus, Laurens and
Kramchaninova, Alina and
Defauw, Arne and
Szoc, Sara and
Everaert, Frederic and
Winckel, Koen Van and
Bardadym, Anna and
Vanallemeersch, Tom",
editor = {Moniz, Helena and
Macken, Lieve and
Rufener, Andrew and
Barrault, Lo{\"i}c and
Costa-juss{\`a}, Marta R. and
Declercq, Christophe and
Koponen, Maarit and
Kemp, Ellie and
Pilos, Spyridon and
Forcada, Mikel L. and
Scarton, Carolina and
Van den Bogaert, Joachim and
Daems, Joke and
Tezcan, Arda and
Vanroy, Bram and
Fonteyne, Margot},
booktitle = "Proceedings of the 23rd Annual Conference of the European Association for Machine Translation",
month = jun,
year = "2022",
address = "Ghent, Belgium",
publisher = "European Association for Machine Translation",
url = "https://aclanthology.org/2022.eamt-1.61/",
pages = "343--344",
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."
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%0 Conference Proceedings %T Automatically extracting the semantic network out of public services to support cities becoming Smart Cities %A den Bogaert, Joachim Van %A Meeus, Laurens %A Kramchaninova, Alina %A Defauw, Arne %A Szoc, Sara %A Everaert, Frederic %A Winckel, Koen Van %A Bardadym, Anna %A Vanallemeersch, Tom %Y Moniz, Helena %Y Macken, Lieve %Y Rufener, Andrew %Y Barrault, Loïc %Y Costa-jussà, Marta R. %Y Declercq, Christophe %Y Koponen, Maarit %Y Kemp, Ellie %Y Pilos, Spyridon %Y Forcada, Mikel L. %Y Scarton, Carolina %Y Van den Bogaert, Joachim %Y Daems, Joke %Y Tezcan, Arda %Y Vanroy, Bram %Y Fonteyne, Margot %S Proceedings of the 23rd Annual Conference of the European Association for Machine Translation %D 2022 %8 June %I European Association for Machine Translation %C Ghent, Belgium %F den-bogaert-etal-2022-automatically %X 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. %U https://aclanthology.org/2022.eamt-1.61/ %P 343-344
Markdown (Informal)
[Automatically extracting the semantic network out of public services to support cities becoming Smart Cities](https://aclanthology.org/2022.eamt-1.61/) (den Bogaert et al., EAMT 2022)
- Automatically extracting the semantic network out of public services to support cities becoming Smart Cities (den Bogaert et al., EAMT 2022)
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.