Resolving Speculation: MaxEnt Cue Classification and Dependency-Based Scope Rules
Erik Velldal, Lilja Øvrelid, Stephan Oepen · 2010
This paper describes a hybrid, two-level approach for resolving hedge cues, the problem of the CoNLL-2010 shared task. First, a maximum entropy classifier is applied to identify cue words, using both syntactic- and surface-oriented features. Second, a set of manually crafted rules, operating on dependency representations and the output of the classifier, is applied to resolve the scope of the hedge cues within the sentence. 1