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
- 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.