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Multilingual Email Zoning

arXiv 2102.00461 ↗First posted 31 Jan 2021cs.CL stat.AP stat.MLcited by 0

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Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 8 of its 32 references that are in the map. First posted on arXiv 31 Jan 2021.

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References · 8

  1. 2017Attention Is All You Needcited by 59,932
  2. 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
  3. 2014Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translationcited by 4,016
  4. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  5. 2019BERT Rediscovers the Classical NLP Pipelinecited by 1,046
  6. 2015Bidirectional LSTM-CRF Models for Sequence Taggingcited by 544
  7. 2019Gmail Smart Compose: Real-Time Assisted Writingcited by 97
  8. 2016Smart Reply: Automated Response Suggestion for Emailcited by 54

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