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Non Monotonic Parsing of Fluent Umm I mean Disfluent Sentences

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Figure

Figure 1: Two kinds of cascades for disfluencylearning. Circles are classifiers and light-coloredblocks show the final decision by the system.
Figure 2: Feature templates used in this paper andtheir abbreviations. β : buffer, β 0 : first word inthe buffer, s 0 : top stack word, Ws: words, rp:reparadnum, cand.: candidate phrase, PNGs: postn-grams, FGT: fine-grained transitions and CGT:coarse-grained
Table 1: Comparison of joint parsing and disflu-ency detection methods.UAS is the unlabeledparse accuracy score.

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