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Coreferential Relations in Basque: The Annotation Process
Klara Ceberio1, Itziar Aduriz2, Arantza Díaz de Ilarraza3
1IXA Group, Faculty of Informatics, UPV-EHU, Donostia, Spain. klara.ceberio@gmail.com.
This study presents coreferential tagging for the Basque language corpus, detailing unique grammatical features and annotation methods. The process, aided by automated mention detection, establishes a foundational corpus for future computational coreference resolution in Basque.
Area of Science:
- Computational Linguistics
- Corpus Linguistics
- Pragmatics
Background:
- Coreference is a pragmatic phenomenon influenced by context and language-specific patterns.
- Basque, a non-Indo-European language, possesses distinct grammatical features compared to its neighbors.
- Previous studies have automated mention detection, improving the efficiency of corpus annotation.
Purpose of the Study:
- To present the coreferential tagging of a portion of the EPEC Corpus of Basque.
- To explain the language-specific features of Basque relevant to coreference.
- To describe the criteria and annotation process for coreferential tagging in Basque.
Main Methods:
- Utilized a morphologically and syntactically annotated corpus for easier identification of reference chains.
- Employed a multi-annotator approach with independent tagging and a judge for resolving disagreements.
- Leveraged automated mention detection from prior research to streamline the annotation workflow.
Main Results:
- Successfully tagged a segment of the EPEC Corpus for coreference.
- Established clear criteria for coreferential tagging tailored to Basque.
- Developed an automated process for coreferential tagging, enhancing efficiency.
Conclusions:
- The developed methodology provides a robust framework for coreferential tagging in Basque.
- The annotated corpus serves as a significant resource for computational treatment of coreference resolution.
- This work facilitates future research in Basque natural language processing and computational linguistics.
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