Abstract
Answering email by standard answers is a common practice at contact centers. Our research assists this process by creating reply messages that contain one or several standard answers. Our standard answers are linked to representative text patterns that match incoming messages. The system works in three languages. The performance was evaluated on two email sets; the main advantage of our email answering technique is good correctness of the delivered replies.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Katakis, I., Tsoumakas, G., Vlahavas, I.: Email Mining: Emerging Techniques for Email Management. In: Vakali, A., Pallis, G. (eds.) Web Data Management Practices: Emerging Techniques and Technologies, pp. 219–240. Idea Group Publishing, USA (2006)
Busemann, S., Schmeier, S., Arens, R.G.: Message classification in the call center. In: Proc. Sixth Conference on Applied Natural Language Processing, pp. 158–165. ACL (2000)
Lapalme, G., Kosseim, L.: Mercure: Towards an automatic e-mail follow-up system. IEEE Computational Intelligence Bulletin 2(1), 14–18 (2003)
Scheffer, T.: Email answering assistance by semi-supervised text classification. In: Intelligent Data Analysis, vol. 8(5), pp. 481–493. IOS Press, Amsterdam (2004)
Malik, R., Subramaniam, V., Kaushik, S.: Automatically Selecting Answer Templates to Respond to Customer Emails. In: Proc. 20th International Joint Conference on Artificial Intelligence (IJCAI), Hyderabad, India, pp. 1659–1664 (2007)
Weng, S.S., Liu, C.K.: Using text classification and multiple concepts to answer e-mails. Expert Systems with Applications 26(4), 529–543 (2004)
Marom, Y., Zukerman, I.: Towards a Framework for Collating Help-desk Responses from Multiple Documents. In: Proceedings of the IJCAI Workshop on Knowledge and Reasoning for Answering Questions, Edinburgh, Scotland, pp. 32–39 (2005)
Kosseim, L., Beauregard, S., Lapalme, G.: Using information extraction and natural language generation to answer e-mail. Data & Knowledge Engineering 38, 85–100 (2001)
Sneiders, E.: Automated FAQ Answering with Question-Specific Knowledge Representation for Web Self-Service. In: Bello, L.L., Iannizzotto, G. (eds.) Proc. 2nd International Conference on Human System Interaction, pp. 298–305. IEEE, Los Alamitos (2009)
Tang, J., Li, H., Cao, Y., Tang, Z.: Email Data Cleaning. In: Proc. Eleventh ACM SIGKDD Internationl Conference on Knowledge Discovery in Data Mining, Chicago, Illinois, USA, pp. 489–498. ACM, New York (2005)
Dalianis, H.: Evaluating a Spelling Support in a Search Engine. In: Andersson, B., Bergholtz, M., Johannesson, P. (eds.) NLDB 2002. LNCS, vol. 2553, pp. 183–190. Springer, Heidelberg (2002)
Golding, A.R., Roth, D.: A Winnow-Based Approach to Context-Sensitive Spelling Correction. In: Machine Learning, vol. 34, pp. 107–130. Springer, Netherlands (1999)
Mays, E., Damerau, F.J., Mercer, R.L.: Context Based Spelling Correction. Information Processing & Management 27(5), 517–522 (1991)
Brill, E., Moore, R.C.: An Improved Error Model for Noisy Channel Spelling Correction. In: Proc. 38th Annual Meeting on Association for Computational Linguistics, Hong Kong, pp. 286–293. ACL (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sneiders, E. (2010). Automated Email Answering by Text Pattern Matching. In: Loftsson, H., Rögnvaldsson, E., Helgadóttir, S. (eds) Advances in Natural Language Processing. NLP 2010. Lecture Notes in Computer Science(), vol 6233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14770-8_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-14770-8_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14769-2
Online ISBN: 978-3-642-14770-8
eBook Packages: Computer ScienceComputer Science (R0)