Abstract
This article describes a heuristic approach to zero subject detection in Polish. It focuses on the zero subject detection as a crucial step in end-to-end coreference resolution. The zero subject verbs are recognized using a set of manually created rules utilizing information from different sources, including: a dependency parser, a shallow relational parser and a valence dictionary. The rules were developed and evaluated on the Polish Coreference Corpus. The experimental results show that the presented method significantly outperforms the only machine learning-based alternative for Polish, i.e., MentionDetector. We also discuss and evaluate the importance of zero subject detection for existing coreference resolution tools for Polish.
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Kaczmarek, A., Marcińczuk, M. (2015). Heuristic Algorithm for Zero Subject Detection in Polish. In: Král, P., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2015. Lecture Notes in Computer Science(), vol 9302. Springer, Cham. https://doi.org/10.1007/978-3-319-24033-6_43
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DOI: https://doi.org/10.1007/978-3-319-24033-6_43
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