Previous work on classifying information status (Nissim, 2006; Rahman and Ng, 2011) is restricted to coarse-grained classification and focuses on conversational dialogue. We here introduce the task of classifying finegrained information status and work on written 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 outperforms reimplementations of previous work.
REF learn fine-grained IS on a portion of OntoNotes corpus.
Collective Classification for Fine-grained Information Status
ACL
Computer Science