Authors: | Džunić, Zoran Momčilović, Svetislav Todorović, Branimir Stanković, Miomir |
Title: | Conference resolution using decision trees | Journal: | 8th Seminar on Neural Network Applications in Electrical Engineering, Neurel-2006 Proceedings | First page: | 109 | Last page: | 114 | Issue Date: | 1-Dec-2006 | ISBN: | 1-4244-0433-9 | DOI: | 10.1109/NEUREL.2006.341188 | Abstract: | Corefence resolution is the process of determining whether two expressions in natural language refer to the same entity in the world. We adopt machine learning approach using decision tree to a coreference resolution of general noun phrases in unrestricted text based on well defined features. We also use approximate matching algorithms for a string match feature and databases of American last names and male and female first names for gender agreement and alias feature. For the evaluation we use MUC-6 coreference corpora. We show that pessimisitc error pruning method gives better generalization in a coreference resolution task than that reported in Soon et al. [20], when weights of positive and negative examples are properly chosen. |
Keywords: | Approximate string matching | Coreference resolution | Decision tree | Machine learning | Pessimistic error pruning | Publisher: | IEEE |
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