University of Cambridge > Talks.cam > NLIP Seminar Series > Automatic speech act identification in business emails

Automatic speech act identification in business emails

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Thomas Lippincott.

This talk presents an approach to automated speech act recognition in business English emails. A maximum entropy classifier is trained on a combination of lexical and syntactic features, achieving 79% accuracy on non-native English data. I also discuss how varying conditions such as feature selection and training data affect performance.

This talk is part of the NLIP Seminar Series series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity