Paper: A Context-Aware NLP Approach For Noteworthiness Detection in Cellphone Conversations

ACL ID C14-1004
Title A Context-Aware NLP Approach For Noteworthiness Detection in Cellphone Conversations
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2014
Authors

This papers presents a context-aware NLP approach to automatically detect noteworthy infor- mation in spontaneous mobile phone conversations. The proposed method uses a supervised modeling strategy which considers both features from the content of the conversation as well as contextual information from the call. We empirically analyze the predictive performance of features of different nature on a corpus of mobile phone conversations. The results of this study reveal that the context of the conversation plays a crucial role on boosting the predictive perfor- mance of the model.