Paper: Collective Classification for Fine-grained Information Status

ACL ID P12-1084
Title Collective Classification for Fine-grained Information Status
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2012
Authors

Previous work on classifying information sta- tus (Nissim, 2006; Rahman and Ng, 2011) is restricted to coarse-grained classification and focuses on conversational dialogue. We here introduce the task of classifying fine- grained information status and work on writ- ten text. We add a fine-grained information status layer to the Wall Street Journal portion of the OntoNotes corpus. We claim that the information status of a mention depends not only on the mention itself but also on other mentions in the vicinity and solve the task by collectively classifying the information status of all mentions. Our approach strongly outper- forms reimplementations of previous work.