Machine Learning Approach to Anaphora Resolution
Michal Novák · Digital Repository (National Repository of Grey Literature) · 2010
Anaphora resolution is the key task for some of the Natural Language Processing (NLP) tasks like the information extraction or dialog systems. It can be also valuable in machine translation. All the previous works concerning the anaphora resolution in Czech language mostly focused on the pronoun coreference. Thanks to the recent project of the annotation of extended anaphoric relations in Prague Dependency Treebank 2.0 his work goes further. It attempts to resolve noun phrase coreference, identity-of-sense anaphora and part-whole bridging relations. It has adopted some of the stateof-the-art approaches in the area of machine learning approaches to anaphora resolution, particularly the ranking and the joint anaphor identi cation with the antecedent selection. It introduced a plenty of features and analyzed their contribution on the success rate. The best model of noun phrase coreference achieves the F-score of 39.4%.