Coreference Resolution for Russian: Taking Stock and Moving Forward

Khadzhiiskaia, A.Y.; Sysoev, Andrey

doi:10.1109/ispras.2017.00019

Cited by 1 publication

(2 citation statements)

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“…The evaluation was performed on Russian Coreference Corpus (RuCur). Machine learning approaches [50] were also used.For Czech, coreferences are annotated in the tectogrammatical layer of Prague Dependency Treebank (PDT) and their first coreference resolution approach was rule based [51]. At first, all possible candidates are collected and then their list is narrowed down using 8 filters, and then from remaining ones closest to corefering object is selected as antecedent.…”

Section: Related Workmentioning

confidence: 99%

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Minimalistic Approach to Coreference Resolution in Lithuanian Medical Records

Žitkus

Butkienė

Butleris

et al. 2019

Computational and Mathematical Methods in Medicine

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Coreference resolution is a challenging part of natural language processing (NLP) with applications in machine translation, semantic search and other information retrieval, and decision support systems. Coreference resolution requires linguistic preprocessing and rich language resources for automatically identifying and resolving such expressions. Many rarer and under-resourced languages (such as Lithuanian) lack the required language resources and tools. We present a method for coreference resolution in Lithuanian language and its application for processing e-health records from a hospital reception. Our novelty is the ability to process coreferences with minimal linguistic resources, which is important in linguistic applications for rare and endangered languages. The experimental results show that coreference resolution is applicable to the development of NLP-powered online healthcare services in Lithuania.

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Section: Related Workmentioning

confidence: 99%

“…The evaluation was performed on Russian Coreference Corpus (RuCur). Machine learning approaches [50] were also used.…”

Section: Related Workmentioning

confidence: 99%