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arXiv 2102.00461cs.CLstat.APstat.ML

Multilingual Email Zoning

Cleverly(Cleverly公司);NOVA-IMS(新里斯本大学信息管理学院);Unbabel(Unbabel公司)

Bruno Jardim, Ricardo Rei, Mariana S. C. Almeida

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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