This paper proposes a combined model for POS tagging, dependency parsing and co-reference resolution for Bulgarian -a pro-drop Slavic language with rich morphosyntax. We formulate an extension of the MSTParser algorithm that allows the simultaneous handling of the three tasks in a way that makes it possible for each task to benefit from the information available to the others, and conduct a set of experiments against a treebank of the Bulgarian language. The results indicate that the proposed joint model achieves state-of-theart performance for POS tagging task, and outperforms the current pipeline solution.
A combined method for POS tagging, dependency parsing and co-reference resolution for Bulgarian has been proposed in REF .
Combining POS Tagging, Dependency Parsing and Coreferential Resolution for Bulgarian
RANLP
Computer Science