TY - GEN
T1 - Multilingual email zoning
AU - Jardim, Bruno
AU - Rei, Ricardo
AU - Almeida, Mariana S.C.
N1 - info:eu-repo/grantAgreement/EC/H2020/873904/EU#
Jardim, B., Rei, R., & Almeida, M. S. C. (2021). Multilingual email zoning. In EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop (pp. 88-95). (EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop). Association for Computational Linguistics (ACL). ---------------------------
Funding Information:
This project has received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No 873904.
Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation program under grant agreement No 873904.
Publisher Copyright:
© 2021 Association for Computational Linguistics
PY - 2021
Y1 - 2021
N2 - The segmentation of emails into functional zones (also dubbed email zoning) is a relevant preprocessing step for most NLP tasks that deal with emails. However, despite the multilingual character of emails and their applications, previous literature regarding email zoning corpora and systems was developed essentially for English. In this paper, we analyse the existing email zoning corpora and propose a new multilingual benchmark composed of 625 emails in Portuguese, Spanish and French. Moreover, we introduce OKAPI, the first multilingual email segmentation model based on a language agnostic sentence encoder. Besides generalizing well for unseen languages, our model is competitive with current English benchmarks, and reached new state-of-the-art performances for domain adaptation tasks in English.
AB - The segmentation of emails into functional zones (also dubbed email zoning) is a relevant preprocessing step for most NLP tasks that deal with emails. However, despite the multilingual character of emails and their applications, previous literature regarding email zoning corpora and systems was developed essentially for English. In this paper, we analyse the existing email zoning corpora and propose a new multilingual benchmark composed of 625 emails in Portuguese, Spanish and French. Moreover, we introduce OKAPI, the first multilingual email segmentation model based on a language agnostic sentence encoder. Besides generalizing well for unseen languages, our model is competitive with current English benchmarks, and reached new state-of-the-art performances for domain adaptation tasks in English.
UR - http://www.scopus.com/inward/record.url?scp=85107422283&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85107422283
T3 - EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
SP - 88
EP - 95
BT - EACL 2021 - 16th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Student Research Workshop
PB - Association for Computational Linguistics (ACL)
T2 - 16th Conference of the European Chapter of the Associationfor Computational Linguistics: Student Research Workshop, EACL 2021
Y2 - 19 April 2021 through 23 April 2021
ER -