Using Question-Answer Pairs in Extractive Summarization of Email Conversations
نویسندگان
چکیده
While sentence extraction as an approach to summarization has been shown to work in documents of certain genres, because of the conversational nature of email communication, sentence extraction may not result in a coherent summary. In this paper, we present our work on augmenting extractive summaries of threads of email conversations with automatically detected question-answer pairs. We compare various appraoches to integrating questionanswer pairs in the extractive summaries, and show that their use improves the quality of email summaries. We also describe the email summarization interface we have developed that allows users to summarize email conversations from email clients such as Mircosoft Outlook.
منابع مشابه
Detection of Question-Answer Pairs in Email Conversations
While sentence extraction as an approach to summarization has been shown to work in documents of certain genres, because of the conversational nature of email communication where utterances are made in relation to one made previously, sentence extraction may not capture the necessary segments of dialogue that would make a summary coherent. In this paper, we present our work on the detection of ...
متن کاملSummarizing Lengthy Questions
In this research, we propose the task of question summarization. We first analyzed question-summary pairs extracted from a Community Question Answering (CQA) site, and found that a proportion of questions cannot be summarized by extractive approaches but requires abstractive approaches. We created a dataset by regarding the question-title pairs posted on the CQA site as question-summary pairs. ...
متن کاملExtractive Summarization and Dialogue Act Modeling on Email Threads: An Integrated Probabilistic Approach
In this paper, we present a novel supervised approach to the problem of summarizing email conversations and modeling dialogue acts. We assume that there is a relationship between dialogue acts and important sentences. Based on this assumption, we introduce a sequential graphical model approach which simultaneously summarizes email conversation and models dialogue acts. We compare our model with...
متن کاملAbstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries
We propose a novel abstractive querybased summarization system for conversations, where queries are defined as phrases reflecting a user information needs. We rank and extract the utterances in a conversation based on the overall content and the phrasal query information. We cluster the selected sentences based on their lexical similarity and aggregate the sentences in each cluster by means of ...
متن کاملText Summarization Using Cuckoo Search Optimization Algorithm
Today, with rapid growth of the World Wide Web and creation of Internet sites and online text resources, text summarization issue is highly attended by various researchers. Extractive-based text summarization is an important summarization method which is included of selecting the top representative sentences from the input document. When, we are facing into large data volume documents, the extr...
متن کامل