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Learning Anaphoricity and Antecedent Ranking Features for Coreference Resolution

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Figure

Figure 1: Two histograms illustrating the predictive abilityof raw (unconjoined) features per feature occurrence: (top)of anaphoricity (features frommentions
Figure 3: Visualization of the representation matrix W p .A subset of the raw features were manually grouped intofive classes indicating: full lexical match [F], head match[H], mention/sentence distance [D] (near versus far), gen-der/number match [G], and type [P] (pronoun versus other).The heat map illustrates 10-columns of W pas a weightedcombination of these classes, roughly illustrating the com-bination of raw features required for this dimension of therepresentation.
Table 2: Results on CoNLL 2012 English test set. We compare against recent state-of-the-art systems, including (in order)Durrett and Klein (2013), Ma et al
Table 5: Absolute error counts from the coreference analysistool of Kummerfeld and Klein (2013)

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