Paper: Information Extraction From Voicemail

ACL ID P01-1039
Title Information Extraction From Voicemail
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2001
Authors

In this paper we address the problem of extracting key pieces of information from voicemail messages, such as the identity and phone number of the caller. This task differs from the named entity task in that the information we are inter- ested in is a subset of the named entities in the message, and consequently, the need to pick the correct subset makes the problem more difficult. Also, the caller’s identity may include informa- tion that is not typically associated with a named entity. In this work, we present three information extraction methods, one based on hand-crafted rules, one based on maximum entropy tagging, and one based on probabilistic trans- ducer induction. We evaluate their per- formance on both manually transcribed messages and on the output of a speech recognition syst...