TY - GEN
T1 - Using question-answer pairs in extractive summarization of email conversations
AU - McKeown, Kathleen
AU - Shrestha, Lokesh
AU - Rambow, Owen
PY - 2007
Y1 - 2007
N2 - 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 approaches to integrating question-answer pairs in the extractive summaries, and show that their use improves the quality of email summaries.
AB - 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 approaches to integrating question-answer pairs in the extractive summaries, and show that their use improves the quality of email summaries.
UR - https://www.scopus.com/pages/publications/37149057214
U2 - 10.1007/978-3-540-70939-8_48
DO - 10.1007/978-3-540-70939-8_48
M3 - Conference contribution
AN - SCOPUS:37149057214
SN - 354070938X
SN - 9783540709381
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 542
EP - 550
BT - Computational Linguistics and Intelligent Text Processing - 8th International Conference, CICLing 2007, Proceedings
PB - Springer Verlag
T2 - 8th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2007
Y2 - 18 February 2007 through 24 February 2007
ER -