Abstract

Given the overwhelming number of emails, an effective subject line becomes essential to better inform the recipient of the email's content. In this paper, we propose and study the task of email subject line generation: automatically generating an email subject line from the email body. We create the first dataset for this task and find that email subject line generation favor extremely abstractive summary which differentiates it from news headline generation or news single document summarization. We then develop a novel deep learning method and compare it to several baselines as well as recent state-of-the-art text summarization systems. We also investigate the efficacy of several automatic metrics based on correlations with human judgments and propose a new automatic evaluation metric. Our system outperforms competitive baselines given both automatic and human evaluations. To our knowledge, this is the first work to tackle the problem of effective email subject line generation.

Highlights

  • Email is a ubiquitous form of online communication

  • We propose the task of Subject Line Generation (SLG): automatically producing email subjects given the email body

  • Our contributions are threefold: (1) We introduce the task of email subject line generation (SLG) and build a benchmark dataset Annotated Enron Subject Line Corpus (AESLC).1 (2) We investigate possible automatic metrics for SLG and study their correlations with human judgments

Read more

Summary

Introduction

An email message consists of two basic elements: an email subject line and an email body. The subject line, which is displayed to the recipient in the list of inbox messages, should tell what the email body is about and what the sender wants to convey. While much effort has been focused on email summarization (Muresan et al, 2001; Nenkova and Bagga, 2003; Rambow et al, 2004), email keyword extraction and action detection Subject 1: Current Job Description Needed (COMMENT: This is good because it is both informative and succinct.) Subject 2: Job Description (COMMENT: This is okay but not informative enough.) Subject 3: Request (COMMENT: This is bad because it does not contain any specific information about the request.)

Methods
Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call