Paper: Autonomous Self-Assessment of Autocorrections: Exploring Text Message Dialogues

ACL ID N12-1089
Title Autonomous Self-Assessment of Autocorrections: Exploring Text Message Dialogues
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012
Authors

Text input aids such as automatic correction systems play an increasingly important role in facilitating fast text entry and efficient com- munication between text message users. Al- though these tools are beneficial when they work correctly, they can cause significant communication problems when they fail. To improve its autocorrection performance, it is important for the system to have the capabil- ity to assess its own performance and learn from its mistakes. To address this, this pa- per presents a novel task of self-assessment of autocorrection performance based on interac- tions between text message users. As part of this investigation, we collected a dataset of au- tocorrection mistakes from true text message users and experimented with a rich set of fea- tures in our self-assessmen...