Anaphora Resolution: Theory and Practice

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A Few Questions• How do insights taken from centering-based models fare if they are appliedto large amounts of naturally occurring data?• How do centering-based models compare to corpus-based methods?Results? Coverage? Portability? Robustness? Development time?• What do centering-based models <strong>and</strong> corpus-based methods have incommon? What are the differences?
A Few Questions• How do insights taken from centering-based models fare if they are appliedto large amounts of naturally occurring data?• How do linguistic theories fare if they are applied to large amounts ofnaturally occurring data?• How do centering-based models compare to corpus-based methods?Results? Coverage? Portability? Robustness? Development time?• How do linguistic theories compare to corpus-based methods?Coverage? Portability? Robustness? Development time?Results?• What do centering-based models <strong>and</strong> corpus-based methods have incommon? What are the differences?⇒ What is our linguistic intuition good for?
Page 1 and 2: Anaphora Resolution:Theory and Prac
Page 3: Anaphora Resolution:orTheory and Pr
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 and 48: Experimental SetupAnnotated CorpusC
Page 49 and 50: Iterative Procedure(similar to wrap
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
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Anaphora Resolution: Theory and Practice

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