Mining needle in a haystack: classifying rare classes via two-phase rule induction
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
Information extraction from voicemail
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Automatic summarization of voicemail messages using lexical and prosodic features
ACM Transactions on Speech and Language Processing (TSLP)
Accessing speech data using strategic fixation
Computer Speech and Language
Foundations and Trends in Databases
Formatting time-aligned ASR transcripts for readability
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Domain adaptation of rule-based annotators for named-entity recognition tasks
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Recognizing named entities in tweets
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
QuickView: NLP-based tweet search
ACL '12 Proceedings of the ACL 2012 System Demonstrations
Joint inference of named entity recognition and normalization for tweets
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Two-stage NER for tweets with clustering
Information Processing and Management: an International Journal
Named entity recognition for tweets
ACM Transactions on Intelligent Systems and Technology (TIST) - Special section on twitter and microblogging services, social recommender systems, and CAMRa2010: Movie recommendation in context
International Journal of Mobile Human Computer Interaction
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Voicemail is not like email. Even such basic information as the name of the caller/sender or a phone number for returning calls is not represented explicitly and must be obtained from message transcripts or other sources. We discuss techniques for doing this and the challenges these tasks present.