Extractive email thread summarization: Can we do better than He Said She Said?

EmailSum: Abstractive Email Thread Summarization

Recent years have brought about an interest in the challenging task of summarizing conversation threads (meetings, online discussions, etc.). Such summaries help analysis of the long text to quickly catch up with the dec…

Extractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach

Building a Dataset for Summarization and Keyword Extraction from Emails

This paper introduces a new email dataset, consisting of both single and thread emails, manually annotated with summaries and keywords. A total of 349 emails and threads have been annotated. The dataset is our first step…

A Publicly Available Annotated Corpus for Supervised Email Summarization

Annotated email corpora are necessary for evaluation and training of machine learning summarization techniques. The scarcity of corpora has been a limiting factor for research in this field. We describe our process of cr…

Generating and Evaluating Summaries for Partial Email Threads: Conversational Bayesian Surprise and Silver Standards

We define and motivate the problem of summarizing partial email threads. This problem introduces the challenge of generating reference summaries for partial threads when human annotation is only available for the threads…