Summarizing threads of email is different from summarizing other types of written communication as it has an inherent dialog structure. We present initial research which shows that sentence extraction techniques can work for email threads as well, but profit from email-specific features. In addition, the presentation of the summary should take into account the dialogic structure of email communication
This paper introduces a new email dataset, consisting of both single and thread emails, manually ann...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In this paper we describe initial work in constructing summaries for technical chat/email discussion...
Email has become a part of most people's lives, and the ever increasing amount of messages people re...
We present two approaches to email thread summarization: Collective Message Summarization (CMS) appl...
While sentence extraction as an approach to summarization has been shown to work in documents of cer...
With the ever increasing popularity of emails, it is very common nowadays that people discuss specif...
We define and motivate the problem of summarizing partial email threads. This problem introduces th...
We present a system for the automatic extraction of salient information from email messages, thus pr...
Countless emails are sent and received every day, and a lot of time is spent reading through and und...
During the development of a project, programmers discuss problems, structural decisions, bugs, time ...
This paper shows that linguistic techniques along with machine learning can extract high quality nou...
Accessing an ever increasing number of emails, possibly on small mobile devices, has become a major ...
In this paper, we present a novel supervised approach to the problem of summarizing email conversati...
In today’s world email communication is growing with fast rate. Thousands emails are coming into use...
This paper introduces a new email dataset, consisting of both single and thread emails, manually ann...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In this paper we describe initial work in constructing summaries for technical chat/email discussion...
Email has become a part of most people's lives, and the ever increasing amount of messages people re...
We present two approaches to email thread summarization: Collective Message Summarization (CMS) appl...
While sentence extraction as an approach to summarization has been shown to work in documents of cer...
With the ever increasing popularity of emails, it is very common nowadays that people discuss specif...
We define and motivate the problem of summarizing partial email threads. This problem introduces th...
We present a system for the automatic extraction of salient information from email messages, thus pr...
Countless emails are sent and received every day, and a lot of time is spent reading through and und...
During the development of a project, programmers discuss problems, structural decisions, bugs, time ...
This paper shows that linguistic techniques along with machine learning can extract high quality nou...
Accessing an ever increasing number of emails, possibly on small mobile devices, has become a major ...
In this paper, we present a novel supervised approach to the problem of summarizing email conversati...
In today’s world email communication is growing with fast rate. Thousands emails are coming into use...
This paper introduces a new email dataset, consisting of both single and thread emails, manually ann...
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer...
In this paper we describe initial work in constructing summaries for technical chat/email discussion...