Yildirim, SavasKilicaslan, YilmazYildiz, Tugba2024-07-182024-07-182009978-3-642-04234-80302-97431611-3349https://hdl.handle.net/11411/85913rd Language and Technology Conference 2007 -- OCT 05-07, 2007 -- Poznan, POLANDThis paper reports on the results of some pronoun resolution experiments performed by applying a decision tree and a rule-based algorithm on an annotated Turkish text. The text has been compiled mostly from various popular child stories in a semi-automatic way. A knowledge-lean learning model has been devised using only nine most commonly employed features. An evaluation and comparison of the performances achieved with the two different algorithms is offered in terms of the recall, precision and f-measure metrics.eninfo:eu-repo/semantics/closedAccessAnaphoraPronoun ResolutionConference Object2-s2.0-70349324505+Q32705603N/AWOS:000270337100023