Anaphora Resolution: Theory and Practice

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Experimental Setup• CART decision trees (R reimplementation: RPART)(R was chosen because it turned out to be a flexible environment withoutloss in speed compared to specialized software);• all results reported obtained by 20-fold cross validation;• baseline: NP-antecedents only; features as used for pronoun resolution intext;• then iterative procedure applied for determining the best performingclassifier <strong>and</strong> its features.
Iterative Procedure(similar to wrapper approach for feature selection (Kohavi & John, 1997))1. start with a model based on a set of predefined baseline features;2. train models combining the baseline with all additional features seperately;3. choose the best performing feature; add it to the model;4. train models combining the enhanced model with each of the remainingfeatures separately;5. . . . repeat as long significant improvement can be observed.
Page 1 and 2: Anaphora Resolution:Theory and Prac
Page 3 and 4: Anaphora Resolution:orTheory and Pr
Page 5 and 6: A Few Questions• How do insights
Page 7 and 8: Never Look Back: An Alternative to
Page 9 and 10: NLB: The Algorithm1. If a referring
Page 11 and 12: NLB: Results• results obtained by
Page 13 and 14: Application: Anaphora Resolution in
Page 15 and 16: Anaphora Resolution in Spoken Dialo
Page 17 and 18: Types of Anaphora II: Discourse-Dei
Page 19 and 20: Types of Anaphora IV: Inferrable-Ev
Page 21 and 22: Proposal for Pronoun Resolution in
Page 23 and 24: I-Incompatible (*I)x is an anaphor
Page 25 and 26: The Algorithm: Switchboard sw311728
Page 27 and 28: Problems with These Approaches• o
Page 29 and 30: Application: Anaphora Resolution in
Page 31 and 32: NP-level FeaturesDocument level fea
Page 33 and 34: Different Results for Different Typ
Page 35 and 36: Low Amount of Training Data for Pro
Page 37 and 38: Application: Pronoun Resolution for
Page 39 and 40: Data: Corpus• 20 randomly chosen
Page 41 and 42: Data: Distribution of Agreement Fea
Page 43 and 44: Features• NP-level features;• c
Page 45 and 46: Coreference-level Features11. agree
Page 47: Experimental SetupAnnotated CorpusC
Page 51 and 52: Results: 3ncorrect found total foun
Page 53 and 54: Results: Combinedcorrect found tota
Page 55 and 56: Conclusions: ML for Pronoun Resolut
Page 57 and 58: Conclusions IIHowever,• I used di
Page 59: Further Information (Papers, Annota

Anaphora Resolution: Theory and Practice

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