Mehr: A Persian Coreference Resolution Corpus

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 42

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شناسه ملی سند علمی:

JR_JADM-11-3_006

تاریخ نمایه سازی: 20 دی 1402

چکیده مقاله:

Coreference resolution is one of the essential tasks of natural languageprocessing. This task identifies all in-text expressions that refer to thesame entity in the real world. Coreference resolution is used in otherfields of natural language processing, such as information extraction,machine translation, and question-answering.This article presents a new coreference resolution corpus in Persiannamed Mehr corpus. The article's primary goal is to develop a Persiancoreference corpus that resolves some of the previous Persian corpus'sshortcomings while maintaining a high inter-annotator agreement. Thiscorpus annotates coreference relations for noun phrases, namedentities, pronouns, and nested named entities. Two baseline pronounresolution systems are developed, and the results are reported. Thecorpus size includes ۴۰۰ documents and about ۱۷۰k tokens. Corpusannotation is done by WebAnno preprocessing tool.

نویسندگان

Hassan Haji Mohammadi

Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.

Alireza Talebpour

Department of computer engineering, Shahid Beheshti University, Tehran, Iran.

Ahamd Mahmoudi Aznaveh

Department of computer engineering, Shahid Beheshti University, Tehran, Iran.

Samaneh Yazdani

Department of Computer Engineering, North Tehran Branch, Islamic Azad University, Tehran, Iran.

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