A machine learning approach to personal pronoun resolution in Turkish

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2007

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Abstract

In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classification technique coupled with the ensemble learning method. The technique learns from an annotated corpus, which has been compiled mostly from various popular child stories. Copyright © 2007, American Association for Artificial Intelligence (www.aaai.org). All rights reserved.

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Florida Artificial Intelligence Research Society;Association for the Advancement of Artificial Intelligence
20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 -- 7 May 2007 through 9 May 2007 -- Key West, FL -- 70876

Keywords

Artificial İntelligence , Decision Trees , Estimation , Natural Language Processing Systems , Annotated Corpus , Antecedents , Personal Pronoun Resolution , Learning Systems

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Proceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007

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https://hdl.handle.net/11411/6837

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info:eu-repo/semantics/closedAccess