Domain-Specific Keyphrase Extraction
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Email classification for contact centers
Proceedings of the 2003 ACM symposium on Applied computing
Message classification in the call center
ANLC '00 Proceedings of the sixth conference on Applied natural language processing
Verbs semantics and lexical selection
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Extracting important sentences with support vector machines
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Similarity measures for tracking information flow
Proceedings of the 14th ACM international conference on Information and knowledge management
Corpus-based and knowledge-based measures of text semantic similarity
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
The Evaluation of Sentence Similarity Measures
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
ICADL 08 Proceedings of the 11th International Conference on Asian Digital Libraries: Universal and Ubiquitous Access to Information
An empirical study of corpus-based response automation methods for an e-mail-based help-desk domain
Computational Linguistics
Customer-focused service management for contact centers
IBM Journal of Research and Development
Automated email answering by text pattern matching
IceTAL'10 Proceedings of the 7th international conference on Advances in natural language processing
Novel Approach for Tagging of Discourse Segments in Help-Desk E-Mails
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03
Semi-supervised semantic role labeling via structural alignment
Computational Linguistics
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Contact center agents typically respond to email queries from customers by selecting predefined answer templates that relate to the questions present in the customer query. In this paper we present a technique to automatically select the answer templates corresponding to a customer query email. Given a set of query-response email pairs we find the associations between the actual questions and answers within them and use this information to map future questions to their answer templates. We evaluate the system on a small subset of the publicly available Pine-Info discussion list email archive and also on actual contact center data comprising customer queries, agent responses and templates.