Heuristic Algorithm for Zero Subject Detection in Polish

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,...

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Bibliographic Details
Published inText, Speech, and Dialogue pp. 378 - 386
Main Authors Kaczmarek, Adam, Marcińczuk, Michał
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing 2015
SeriesLecture Notes in Computer Science
Subjects
Anaphora detection
Coreference resolution
Polish
Zero subject
Online AccessGet full text
ISBN3319240323
9783319240329
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-24033-6_43

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Summary: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.
ISBN:3319240323
9783319240329
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-24033-6_43