Non-Monotonic Parsing of Fluent umm I Mean Disfluent Sentences

Abstract

Parsing disfluent sentences is a challenging task which involves detecting disfluencies as well as identifying the syntactic structure of the sentence. While there have been several studies recently into solely detecting disfluencies at a high performance level, there has been relatively little work into joint parsing and disfluency detection that has reached that state-ofthe-art performance in disfluency detection. We improve upon recent work in this joint task through the use of novel features and learning cascades to produce a model which performs at 82.6 F-score. It outperforms the previous best in disfluency detection on two different evaluations.