Learning from Message Pairs for Automatic Email Answering
Abstract
We consider the problem of learning a mapping from question to answer messages. The training data for this problem consist of pairs of messages that have been received and sent in the past. We formulate the problem setting, discuss appropriate performance metrics, develop a solution and describe two baseline methods for comparison. We present a case study based on emails received and answered by the service center of a large online store.
Cite
Text
Bickel and Scheffer. "Learning from Message Pairs for Automatic Email Answering." European Conference on Machine Learning, 2004. doi:10.1007/978-3-540-30115-8_11Markdown
[Bickel and Scheffer. "Learning from Message Pairs for Automatic Email Answering." European Conference on Machine Learning, 2004.](https://mlanthology.org/ecmlpkdd/2004/bickel2004ecml-learning/) doi:10.1007/978-3-540-30115-8_11BibTeX
@inproceedings{bickel2004ecml-learning,
title = {{Learning from Message Pairs for Automatic Email Answering}},
author = {Bickel, Steffen and Scheffer, Tobias},
booktitle = {European Conference on Machine Learning},
year = {2004},
pages = {87-98},
doi = {10.1007/978-3-540-30115-8_11},
url = {https://mlanthology.org/ecmlpkdd/2004/bickel2004ecml-learning/}
}